cloud computing research projects

Future of cloud computing: 5 insights from new global research

Carol Carpenter

VP of Cloud Product Marketing

Research shows that cloud computing will transform every aspect of business, from logistics to customer relationships to the way teams work together, and today’s organizations are preparing for this seismic shift. A new report from Google on the future of cloud computing combines an in-depth look at how the cloud is shaping the enterprise of tomorrow with actionable advice to help today’s leaders unlock its benefits. Along with insights from Google luminaries and leading companies, the report includes key findings from a research study that surveyed 1,100 business and IT decision-makers from around the world. Their responses shed light on the rapidly evolving technology landscape at a global level, as well as variations in cloud maturity and adoption trends across individual countries. Here are five themes that stood out to us from this brand-new research.

1. Cloud computing will move to the forefront of enterprise technology over the next decade, backed by strong executive support.

Globally, 47 percent of survey participants said that the majority of their companies’ IT infrastructures already use public or private cloud computing. When we asked about predictions for 2029, that number jumped 30 percentage points. C-suite respondents were especially confident that the cloud will reign supreme within a decade: More than half anticipate that it will meet at least three-quarters of their IT needs, while only 40 percent of their non-C-suite peers share that view. What’s the takeaway? The cloud already plays a key role in enterprise technology, but the next 10 years will see it move to the forefront—with plenty of executive support. Here’s how that data breaks down around the world.

2. The cloud is becoming a significant driver of revenue growth.

Cloud computing helps businesses focus on improving efficiency and fostering innovation, not simply maintaining systems and status quos. So it’s not surprising that 79 percent of survey respondents already consider the cloud an important driver of revenue growth, while 87 percent expect it to become one within a decade. C-suite respondents were just as likely as their non-C-suite peers to anticipate that the cloud will play an important role in driving revenue growth in 2029. This tells us that decision-makers across global organizations believe their future success will hinge on their ability to effectively apply cloud technology.

3. Businesses are combining cloud capabilities with edge computing to analyze data at its source.

Over the next decade, the cloud will continue to evolve as part of a technology stack that increasingly includes IoT devices and edge computing, in which processing occurs at or near the data’s source. Thirty-three percent of global respondents said they use edge computing for a majority of their cloud operations, while 55 percent expect to do so by 2029. The United States lags behind in this area, with only 18 percent of survey participants currently using edge computing for a majority of their cloud operations, but that figure grew by a factor of 2.5 when respondents looked ahead to 2029. As more and more businesses extend the power and intelligence of the cloud to the edge, we can expect to see better real-time predictions, faster responses, and more seamless customer experiences.

4. Tomorrow’s businesses will prioritize openness and interoperability.

In the best cases, cloud adoption is part of a larger transformation in which new tools and systems positively affect company culture. Our research suggests that businesses will continue to place more value on openness over the next decade. By 2029, 41 percent of global respondents expect to use open-source software (OSS) for a majority of their software platform, up 14 percentage points from today. Predicted OSS use was nearly identical between IT decision-makers and their business-oriented peers, implying that technology and business leaders alike recognize the value of interoperability, standardization, freedom from vendor lock-in, and continuous innovation.

5. On their journey to the cloud, companies are using new techniques to balance speed and quality.

To stay competitive in today’s streaming world, businesses face growing pressure to innovate faster—and the cloud is helping them keep pace. Sixty percent of respondents said their companies will update code weekly or daily by 2029, while 37 percent said they’ve already adopted this approach. This tells us that over the next 10 years, we’ll see an uptick in the use of continuous integration and delivery techniques, resulting in more frequent releases and higher developer productivity.

As organizations prepare for the future, they will need to balance the need for speed with maintaining high quality. Our research suggests that they’ll do so by addressing security early in the development process and assuming constant vulnerability so they’re never surprised. More than half of respondents said they already implement security pre-development, and 72 percent plan to do so by 2029.

Cloud-based enterprises will also rely on automation to maintain quality and security as their operations become faster and more continuous. Seventy percent of respondents expect a majority of their security operations to be automated by 2029, compared to 33 percent today.

Our Future of Cloud Computing report contains even more insights from our original research, as well as a thorough analysis of the cloud’s impact on businesses and recommended steps for unlocking its full potential. You can download it here .

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12 Latest Cloud Computing Research Topics

Free AWS Course for AWS Certified Cloud Practitioner (CLF-C01) Start Now!!

Cloud Computing is gaining so much popularity an demand in the market. It is getting implemented in many organizations very fast.

One of the major barriers for the cloud is real and perceived lack of security. There are many Cloud Computing Research Topics ,  which can be further taken to get the fruitful output.

In this tutorial, we are going to discuss 12 latest Cloud Computing Research Topics. These Cloud computing topics will help in your researches, projects and assignments.

So, let’s start the Cloud Computing Research Topics.

List of Cloud Computing Research Topics

These Cloud Computing researches topics, help you to can eliminate many issues and provide a better environment. We can assoicate these issues with:

• Virtualizations infrastructure
• Software platform
• Identity management
• Access control

There is some important research direction in Cloud Security in areas such as trusted computing, privacy-preserving models, and information-centric security. These are the following Trending Cloud Computing Research Topics .

• Green Cloud Computing
• Edge Computing
• Cloud Cryptography
• Load Balancing
• Cloud Analytics
• Cloud Scalability
• Service Model
• Cloud Computing Platforms
• Mobile Cloud Computing
• Cloud Deployment Model
• Cloud Security

i. Green Cloud Computing

Green Cloud Computing is a broad topic, that makes virtualized data centres and servers to save energy. The IT services are utilizing so many resources and this leads to the shortage of resources.

Green Cloud Computing provides many solutions, which makes IT resources more energy efficient and reduces the operational cost. It can also take care of power management, virtualization , sustainability, and recycling the environment.

ii. Edge Computing

Although edge computing has several benefits, it is frequently combined with cloud computing to form a hybrid strategy. In this hybrid architecture, certain data processing and analytics take place at the edge, while more intense and extensive long-term data storage and analysis happen in the central cloud infrastructure. The edge-to-cloud continuum refers to this fusion of edge and cloud computing.

iii. Cloud Cryptography

Cloud cryptography is the practise of securing data and communications in cloud computing environments using cryptographic methods and protocols. Sensitive data is secured against unauthorised access and possible security breaches by encrypting it both in transit and at rest.

By allowing consumers to keep control of their data while entrusting it to cloud service providers, cloud cryptography protects the confidentiality, integrity, and authenticity of that data. Cloud cryptography improves the security posture of cloud-based apps and services, promoting trust and compliance with data privacy rules by using encryption methods and key management procedures.

iv. Load Balancing

Load Balancing is the distribution of the load over the servers so that the work can be easily done. Due to this, the workload demands can be distributed and managed. There are several advantages of load balancing and they are-

• Fewer chances of the server crash.
• Advanced security.
• Improvement in overall performance.

The load balancing techniques are easy to implement and less expensive. Moreover, the problem of sudden outages is diminished.

v. Cloud Analytics

Cloud analytics can become an interesting topic for researchers, as it has evolved from the diffusion of data analytics and cloud computing technologies . The Cloud analytics is beneficial for small as well as large organizations.

It has been observed that there is tremendous growth in the cloud analytics market. Moreover, it can be delivered through various models such as

• Community model

Analysis has a wide scope, as there are many segments to perform research. Some of the segments are  business intelligence tools , enterprise information management, analytics solutions, governance, risk and compliance, enterprise performance management, and complex event processing

vi. Scalability

Scalability can reach much advancement if proper research is done on it. Many limits can be reached and tasks such as workload in infrastructure can be maintained. It also has the ability to expand the existing infrastructure.

There are two types of scalability:

The applications have rooms to scale up and down, which eliminates the lack of resources that hamper the performance.

vii. Cloud Computing Platforms

Cloud Computing platforms include different applications run by organizations. It is a very vast platform and we can do many types of research within it. We can do research in two ways: individually or in an existing platform, some are-

• Amazon’s Elastic Compute Cloud
• IBM Computing
• Microsoft’s Azure
• Google’s AppEngine
• Salesforce.com

viii. Cloud Service Model

There are 3 cloud service models. They are:

• Platform as a Service (PaaS)
• Software as a Service (SaaS)
• Infrastructure as a Service (IaaS)

These are the vast topics for research and development as IaaS provides resources such as storage , virtual machines, and network to the users. The user further deploys and run software and applications. In software as a service , the software services are delivered to the customer.

The customer can provide various software services and can do research on it. PaaS also provides the services over the internet such as infrastructure and the customers can deploy over the existing infrastructure.

ix. Mobile Cloud Computing

In mobile cloud computing , the mobile is the console and storage and processing of the data takes outside of it. It is one of the leading Cloud Computing research topics.

The main advantage of Mobile Cloud Computing is that there is no costly hardware and it comes with extended battery life. The only disadvantage is that has low bandwidth and heterogeneity.

x. Big Data

Big data is the technology denotes the tremendous amount of data. This data is classified in 2 forms that are structured (organized data) and unstructured (unorganized).

Big data is characterized by three Vs which are:

• Volume – It refers to the amount of data which handled by technologies such as Hadoop.
• Variety –  It refers to the present format of data.
• Velocity – It means the speed of data (generation and transmission).

This can be used for research purpose and companies can use it to detect failures, costs, and issues. Big data along with Hadoop is one of the major topics for research.

xi. Cloud Deployment Model

Deployment model is one of the major Cloud Computing research topics, which includes models such as:

Public Cloud –  It is under the control of the third party. It has a benefit of pay-as-you-go.

Private Cloud – It is under a single organization and so it has few restrictions. We can use it for only single or a particular group of the organization.

Hybrid Cloud – The hybrid cloud comprises of two or more different models. Its architecture is complex to deploy.

Community Cloud

x. Cloud Security

Cloud Security is one of the most significant shifts in information technology. Its development brings revolution to the current business model. There is an open Gate when cloud computing as cloud security is becoming a new hot topic.

To build a strong secure cloud storage model and Tekken issues faced by the cloud one can postulate that cloud groups can find the issues, create a context-specific access model which limits data and preserve privacy.

In security research, there are three specific areas such as trusted computing, information-centric security, and privacy-preserving models.

Cloud Security protects the data from leakage, theft, disaster, and deletion. With the help of tokenization, VPNs, and firewalls, we can secure our data. Cloud Security is a vast topic and we can use it for more researches.

The number of organizations using cloud services is increasing. There are some security measures, which will help to implement the cloud security-

• Accessibility
• Confidentiality

So, this was all about Cloud Computing Research Topics. Hope you liked our explanation.

Hence, we can use Cloud Computing for remote processing of the application, outsourcing, and data giving quick momentum. The above Cloud Computing research topics can help a lot to provide various benefits to the customer and to make the cloud better.

With these cloud computing research, we can make this security more advanced. There are many high-level steps towards security assessment framework. This will provide many benefits in the future to cloud computing. Furthermore, if you have any query, feel free to ask in the comment section.

Did you like our efforts? If Yes, please give DataFlair 5 Stars on Google

Tags: big data Cloud Analytics Cloud Computing Platforms cloud computing research Cloud Computing Research Topics Cloud Computing Topics Cloud Cryptography Cloud Deployment Model Cloud Scalability Cloud Security Cloud Service Model Edge Computing Green Cloud Computing Load Balancing Mobile Cloud Computing Research Topics on Cloud Computing

15 Responses

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Dear, I wants to write a research paper on the cloud computing security, will also discuss the comparison of the present security shecks vs improvement suggested, I am thankful to you, as your paper helps me…

hay thanks for this valueable information dear i am just going to start my research in cloud computing from scratch i dnt now more about this field but i have to now work hard for this so plz give me idea how i start with effiecient manner

Hey Yaseen, Research is a great way to explore the entire topic. But it is recommended you master Cloud computing first, then start your research. Refer to our Free Cloud Computing Tutorial Series You can research on topics like Cloud Security, Optimization of resources, and Cloud cryptography.

Hi, Thank you for your article. I’m working on Cloud Computing Platforms research paper. Would you recommend any sources where I can get a real data or DB with numbers on cloud computing platforms. So, I can analyze it, create graphs, and draw a conclusion. Thank you

….or any sources with data on Cloud Service Models. Thank you

Can you please provide your contact details as I am also starting to research on Cloud Computing, Am a 11 years exp Consultant in an MNC working in Large Infrastructure. My email is partha.059@gmail .com so that we can communicate accordingly.

Can you please put some references you used, so that we can refer for more information? Thanks.

Hi, Very much pleased to know the latest topic for research. very informative, thanks for this i am interested in optimizing the resource here when i say resource it becomes too vast in terms of cloud computing components according to the definition of cloud computing. bit confused to hit the link.. could you plz.

hello iam searching for research gap in cloud computing I cant identify the problem please suggest me research topic on cloud computing

hello I am searching for research gap in cloud computing I cant identify the problem please suggest me research topic on cloud computing

we discuss optimization of resources, the gaps available

I want to do research in cloud databases,may i know the latest challenges in cloud databases?

I am a student of MS(computer science) and i am currently finding research topics in the area of cloud computing, Please let me know the topic of cloud computing and as well research gap so i will continue the research ahead with research gap.

Hi I am a student of MS(computer science) and i am currently finding research topics in the area of cloud computing, Please let me know the topic of cloud computing and as well research gap so I will continue the research.

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15+ Cloud Computing Projects With Source Code

Introduction, importance of cloud computing projects, cloud computing projects ideas, cloud computing projects for beginners, 1. attendance system, 2. bus ticketing and payment system, 3. host a dynamic website, 4. host a static website using aws or other clouds, 5. website without a server, intermediate cloud computing projects with source code, 6. system for online blood banking that is hosted in the cloud, 7. cloud-based conversational interface, 8. bookstore on the cloud, 9. smart traffic management system that is cloud-based, 10. cloud-based e-learning, advanced cloud computing projects with source code, 11. iot remote monitoring and control, 12. project for bug tracking in cloud computing, 13. file storage system using hybrid cryptography cloud computing project, 14. create a personal cloud, 15. repair techniques for transportable storage devices, 16. project to automate the university’s online services, 17. cloud computing for rural banking., 18. data leaks detection project, q1: how do i create a project in cloud computing, q2: what are examples of cloud computing, q3: does cloud computing require coding, additional resources.

One of the most significant ways to acquire a skill is to apply it, and what better way to accomplish this than to work on projects? So in this article, we’re providing the best cloud computing projects that you can draw inspiration from to work on your own projects. We encourage finishing numerous projects to master the various capabilities and functionalities of Django. We have provided projects of various skill levels so you may select according to your competence. Let’s get started.

In this article, we have discussed Cloud Computing Projects with their source code. Read on to know further.

Cloud computing applications are becoming more widespread across various fields, technologies, sizes, and applications. In addition to providing you with adequate exposure and experience on cloud technologies, cloud computing-based mini projects or real-time cloud computing projects will also provide you with other skills, including data analytics, business intelligence, network management, and analytical abilities, among others. It is feasible, for example, to work on cloud computing research projects or deploy cloud computing for large data projects, among other things. With the tremendous rise of both users of cloud computing technologies, there is a significant demand for projects including both technologies. Cloud computing offers a variety of applications that may be implemented using various computer languages and frameworks. One may create cloud computing projects in various computer languages, including Java, Android, PHP, and any other widely-used programming language available.

Confused about your next job?

You may use cloud computing projects for learners in various ways throughout their academic careers. For final-year engineering students, cloud computing projects for MTech students may be built utilizing cloud delivery and deployment methods and other cloud computing technologies. These cloud project ideas might be your go-to resource for inspiration and guidance when it comes to final-year projects. Programs based on cloud computing have applications in various industries and commercial areas, including entertainment, education, healthcare, retail, finance, and marketing, among others.

When it comes to cloud computing projects, both example projects and project names may be quite beneficial for students around the world alike. You may engage in these new projects to grow and enhance your knowledge and abilities in the subject of cloud computing, as well as other technologies if you so want.

Data security in cloud computing, for example, is a critical field, and working on data security cloud projects will allow you to acquire abilities in cloud computing, risk management, data security, and privacy, among other things.

We have a list of 15 types of cloud computing project ideas, along with the source code link.

Cloud computing is among the most well-known and most sought-after new technologies of our day. It offers end-users with computer system resources like computational power and data storage, among other things. Microsoft, Google, and Amazon Web Services (AWS) are all giants in their fields. Amazon was the first to introduce it, and they have been at the forefront of the industry since its debut. This article on “cloud computing projects” might assist if you are designing projects.

Cloud computing is based on three main Service models: PaaS (Platform as a Service), SaaS (Software as a Service), and IaaS (Infrastructure as a Service). In this section, we’ll take a deep dive into the techniques and high-demand Cloud computing projects that you may utilize to assist you in getting a decent job by generating a concept to create the greatest cloud computing projects available today.

The attendance system records an employee’s or student’s attendance and keeps the information in the cloud. When it scans the card, it enters information such as the in-time, the ID number, and the out-time. This will assist an administrator in removing or adding users and tracking the number of hours an employee or student has spent on the premises.

Source Code Link

Passengers will be able to purchase a bus pass on the internet as part of this trial. Bus booking, scheduling, and payment options are all available via the site, and passengers may purchase a bus pass by logging into the portal with their login credentials.

When a web page is dynamic, users can engage in interactive user interactions. You will greatly aid the aims of businesses by using a dynamic website. In this project, you will host a dynamic website on Amazon Web Services (AWS), and you will use client and server-side languages such as CSS, PHP, HTML, ASP, and JavaScript in the website building process to accomplish this.

In this cloud services project, you will make use of Amazon S3, a straightforward web-based cloud repository provided by Amazon to store static web pages. (documentation pages, blog pages, and so forth) When developing this project, you will use front-end technologies such as HTML and CSS to aid in the development process.

Using serverless cloud computing architecture will allow you to deploy products more quickly and efficiently. In addition, serverless websites provide several benefits, including scalability, the ability to charge users depending on their use of serverless environments such as DynamoDB, API, S3, and consumption.

In this assignment, you will design a blood bank system that includes blood type, donor information, storage space, and blood deposit locations. The information about the blood bank is saved on the cloud. The technology will assist users in identifying blood donors by comparing the information recorded in the database with the information entered into the system.

A chatbot is a piece of artificial intelligence software. Most businesses have used chatbots on their websites to improve customer support while also increasing efficiency. You will develop the chatbot in this project in Python, and it will speak with users, answer their questions, and gather the information you will save in a cloud database.

For this project, you will first create a book shop management system that will organize books into discrete categories and sections that will be easily accessible to end-users. The user searches for a certain book by entering the author’s name or the book’s title. The information and data are saved in a cloud-based environment.

Depending on their movement, this initiative will reduce the amount of time that motor vehicles are stuck in traffic during peak hours. A wireless communication system and sensors will be installed to increase efficiency. It also uses data extraction methods to get information that you may utilize in decision-making.

E-learning is a method of learning that allows a person to study from anywhere in the world. You will store the instructional materials, books, videos, and control information for this project on the project’s website, which will be organized by category. The information from the website is then kept in the cloud.

The Internet of Things links various devices to the internet, and the data collected is stored in the cloud until you can evaluate it.

Utilizing Arduino and electric eyes (sensors), you will gather data for this project, which you will then send to a Raspberry using a serial connection. The information gathered is stored in the cloud and can only be accessed by utilizing the MySQL database, which is not included.

This project will allow an administrator to investigate a problem and then interact with a customer using an application created specifically for this purpose. To make it simpler to identify new defects and solve them in a short amount of time, the system will automatically produce tags and labels for them.

This project is developing a cloud-based file storage system that uses hybrid cryptography. You will develop a system to safeguard documents stored in a database by encrypting them for use in this project. Blowfish is employed in encrypting data with a high output while using the least amount of time. When the papers are hosted on a distant server, they are encrypted using three different encryption techniques to provide greater security.

The Raspberry Pi board will be used to develop this project, which will result in a private cloud. To complete the created method, you will want a hard drive, a micro SD card, and a Raspberry Pi. After you’ve connected the components, you’ll be able to access your files from any location.

This project will repair and recreate information/data bits that have been lost due to failures of the repository nodes. The data is to be kept in the cloud so that you may retrieve it more quickly in the event of a disaster. After that, you will examine the rectification techniques and demonstrate productivity improvements.

During this project, your system will gather information about staff members, professors, student data, and visitor data from various sources. The information is gathered and structured so that you may reuse it later. In the next step, the information obtained is saved in the cloud.

This cloud computing project is intended to assist in hosting a banking system over the internet, allowing users to access their accounts without having to visit a financial institution physically. This will contribute to the improvement of economic activity.

This cloud computing initiative will aid in the prevention and management of data breaches as a result of SQL injection attacks. It will encrypt data and then store it in AESX encryption form, safeguarding it against Injection leakage and other threats. When you pay with a credit card, our initiative will guarantee that your information is secure.

Using cloud computing projects has a tremendous potential to modify the technical environment to improve the present company circumstances. As a result, if we can expand and improve technology, it will have a significant influence on enterprises and society as a whole. However, as the breadth of innovation continues to expand, the execution of such initiatives is a challenge that needs careful consideration and a willingness to take risks.

However, cloud technology is such a remarkable thing that the techies have already established various projects, and there are many more that are yet to be constructed in the current cutting edge technology and research and development, which continues to work for a better tomorrow for every one of us in the future. If you are familiar with the cloud computing area and technology, you may be able to participate in this cutting-edge technology. If this is the case, it is never too late to upgrade your skills. Learn cloud computing from some of the most knowledgeable people in the field, all with the help of a dedicated mentor.

Ans. The following are some cloud computing projects for beginners that you may construct to get more knowledge about the technology while also having fun:

• Cloud Computing is being used to automate campus operations.
• Injection Prevention and Detection of Data Leaks (SQL Injection Prevention).
• Cloud-based student data chatbot with a human interface.
• Bus Ticketing System that operates in the cloud.
• Using the Cloud for Android Offloading.

Ans. Examples of Cloud Computing

• Salesforce is a software-as-a-service (Saas) company.
• DigitalOcean offers Infrastructure-as-a-Service (IaaS).
• AWS offers Platform-as-a-Service (Saas).
• Dropbox is a file-sharing and data-storage service.
• Civic Analytics is a company that specializes in big data analysis.
• Carbonite is the company in charge of data governance.
• Forcepoint is a cyber-security firm.

Ans. Take cloud computing classes and begin utilizing a public or private cloud computing service to get a feel for the technology before investing your time and money in it. It is not necessary to be a programmer.

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LiPar: A Lightweight Parallel Learning Model for Practical In-Vehicle Network Intrusion Detection

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MLatom 3: Platform for machine learning-enhanced computational chemistry simulations and workflows

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Federated learning compression designed for lightweight communications

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Recoverable Privacy-Preserving Image Classification through Noise-like Adversarial Examples

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Top 22 Cloud Computing Project Ideas in 2024 [Source Code]

Home Blog Cloud Computing Top 22 Cloud Computing Project Ideas in 2024 [Source Code]

The simplest and most effective way to gain proficiency in a domain is to focus on getting hands-on experience. When you work on live projects, you face real issues, gain familiarity with the actual scenarios, and gain expert-level understanding. So, when you plan and start your career in the cloud industry, you should work on a cloud computing project. It will help you understand the industry better. Moreover, you learn about the future scope of cloud computing. Based on this experience, you can choose the certifications that can boost your career and help you fetch excellent job opportunities. The idea behind working on cloud computing projects is to understand the field and plan the professional journey to get fruitful results.  

In this article, we will discuss what is a cloud computing project, list of cloud computing project ideas based on skills, and a few examples for better understanding.  

List of Cloud Computing Projects Ideas in 2024

Here is a list of curated cloud computing projects for all level skills, one should know in 2024:

• Cloud-enabled attendance system
• Online blood bank system
• Online cloud-enabled bookstore system
• Data redundancy removal system
• Detecting data leaks using SQL injection
• Cloud-based bus pass system
• Making a chatbot
• Secure text transfer
• Bug tracking functionality

Top Cloud Computing Projects [Based on Levels]

Learning cloud computing starts with getting hands-on experience. Check out the and get started with the cloud: 

1. Cloud-enabled attendance system

We can use a cloud-enabled automatic attendance system to scan details. Also, all the scanned information can be directly synchronized and stored on the cloud in real-time. Detailed information like check-in time, check-out time, date, and total working hours, to name a few, can be stored and saved. Administrators must register new students/employees on the system and provide some personal information. 

Source Code:  Cloud-Enabled Attendance System

Advantages  Of a Cloud-Enabled Attendance System: 

• Data and Analytics: You can easily generate reports 
• Flexibility: You can track attendance in a variety of ways 
• Remote management: Cloud-based attendance systems make use of software that can be accessed from anywhere on any device that has Internet access. 

Disadvantages  Of a Cloud-Enabled Attendance System: 

• Not effective in monitoring buddy punching: This software is ineffective at detecting buddy punching. There is a greater possibility of malpractice occurring here. However, if it is equipped with biometric technology, it can be properly monitored. 
• Difficult to maintain and repair:nMaintaining and repairing software is difficult. Though it may be uncommon, once damaged, there will be costs associated with repairing it. 
• Ineffective when there is no power supply: Without a power supply, the software is of no use. The entire system is powered by electricity. This is not the case with the traditional method of taking attendance. 

2. Online blood bank system

Using cloud computing, we can create a central repository for numerous blood deposits, including blood details and depositor information. The blood details would include blood type, storage area, and storage date to help maintain and monitor the blood depositors. This cloud-based system would allow for greater transparency in determining the availability of the desired blood depositor. This system will also contain patient and contact information. 

Source Code : Online Blood Bank System

Advantages of Online Blood Bank System 

• Error probability is reduced to a minimum. 
• Easy and effective information retrieval. 
• The system shows the blood nearing expiry and those that have expired. Hence the unhealthy blood can easily be discarded. 

3. Online cloud-enabled bookstore system

This system can function as an internet bookstore by utilizing SQL and C#. The books would be divided into sections to help users find their desired book without becoming overwhelmed by a database. Additionally, the bookstore records additional information such as a brief synopsis of the books. A notification system is added to help users stay up to date on their eagerly anticipated books and their availability. 

Source Code: Online Cloud-Enabled Bookstore System

Advantages  of Online Cloud-Enabled Book Store System 

• Lower costs as users are not required to purchase a powerful computer or server to support the system's operation. 
• Lower barriers to use. uses the service through the user's browser, the overall interface will be clearer and clearer, and the display effect of each functional module will be more intuitive and adapt to the user’s device 
• Higher security as maintenance of the server is the responsibility of the system supplier. 

4. Data redundancy removal system

This project is focused on accurately removing unnecessary and redundant data in a short amount of time. It accomplishes this by classifying the test data as redundant or false positive. Also, the cloud-enabled system validates the newly-added data to keep the database free from duplicity. If the data is not found in the database, new data gets appended.

Source Code:  Data redundancy removal system

Advantages  of Data Redundancy Removal System 

• Alternative data backup method 
• Better data security 
• Faster data access and updates 
• Improved reliability 

5. Detecting data leaks using SQL injection

This cloud-enabled data leak detection system operates over the Internet and does not require any particular system configuration. The system aims to enhance security and provide measures against SQL injection hacking. By storing users’ information in AES 256 encryption form, it meets all the security needs. It injects SQL through a capability code and establishes a connection between the cloud server and the application itself; this system doubles the security against it.

Source Code:  Data Leakage Detection

Advantages  of This Project 

• Get 100% database security and detect data leakers effortlessly. 
• Distributors can easily identify counterfeit agents leaking their confidential data and take strict action against them. 

6. Cloud-based bus pass system

It is a cloud-based adaptation of purchasing tickets over the Internet. This solves many common problems, such as misplaced, stolen, or incorrectly priced tickets. In addition, if the load on a typical bus booking website is too high, the website chokes and stops working. However, an additional load can be handled by provisioning new servers in the computing. 

Source Code:  Cloud-based Bus Pass System

Advantages of Cloud-based Bus Pass System 

• Allows customers to check the availability of bus tickets before purchasing them 
• Secure. Passengers must first register with the system to verify their identity. After they have been verified, the system allows them to book passes for any route online. 
• Users can recharge using their credit/debit cards. 

7. Making a chatbot

A chatbot is an AI-enabled software designed to interact with users when they visit a website. These bots are assigned to websites to streamline user interaction when they land on the website for the first time. The goal is to provide real-time and immediate responses to customer inquiries. To work on the chatbot application, you can use retrieval-based or generative-based models. If you want to use the chatbot on a commercial website, you should pre-define the input patterns.

Source Code:  Chatbot

Advantages  of Chatbots 

• Seamless live communication 
• Reduced people-to-people interactions 
• Makes customer service available 24/7

8. Secure text transfer 

Encryption is essential to protect confidential data safe against unauthorized access or misuse. This encryption safeguards confidential information in a key-password combination. This combination employs Diffie-Hellman key exchange, which applies to private and public encryption concepts.

This project can be used to exchange text messages while maintaining maximum security and speed. This system can be modified and repurposed to work for image exchange. SQL databases to store all information for exchange strengthen the entire system.

Source Code:  Secure Text Transfer

Advantages of Secure Text Transfer System 

• Content is encrypted to prevent access by hackers and unauthorized people. 
• .NET framework simplifies the development process. 

9. Bug tracking functionality

Using cloud computing, developers could identify the type and origin of bugs by simply logging into the application. The project will be divided into three parts: customer, administrator, and staff. 

By entering a username and password, the customer will create an account. They can log in to the bug tracking application with their credentials and send a bug report with screenshots of the bugs they encountered. Staff can log in using their respective accounts to view bugs and determine whether they need to be fixed. And administrators can contact the user directly about the bugs they sent and quickly resolve them. Depending on the load of the reports, this can vary significantly. 

Source Code:  Bug Tracking System

Advantages  of Bug Tracking System 

• Deliver a high-quality product. 
• Better communication and connectivity. 
• Better customer service. 

Enroll in KnowledgeHut training and courses to start your journey today. We provide study materials, cloud computing projects pdf, and the best resources to help you reach your cloud computing goals. Reach out to us to know our Cloud Computing course duration and fee in detail . 

Cloud Computing Projects for Beginners

Are you new to the cloud and looking to explore your knowledge in cloud computing? There is no better way than trying some hands-on experience with a few basic projects. Here is a list of cloud computing projects for beginners that you must certainly give it a try. 

1. Attendance tracking 

This allows schools, colleges, institutions, and even offices to keep track of students' and employees' absences. Students and employees can mark their attendance by logging in, which is saved in the database and can later be checked by the institute's office. 

Source Code: Attendance Tracking

2. Bus ticketing 

Allow passengers to book bus tickets remotely. There will be no more hassles or concerns if the ticket is misplaced. Distributing tickets and passes to passengers can be done quickly and seamlessly. Also, passengers can use the bus ticketing app to check updates such as seat availability, schedules and timings, discounts, and much more. 

Source Code: Bus Ticketing

3. Automation of university or college data 

This project will assist you in creating a portal for a university or college. This portal allows them to register students, track their placements in various companies, and view their final results. 

While it provides separate login portals for teachers and students, it also serves as a liaison between staff, students, and companies to deliver necessary information, collect feedback, declares results, etc. 

Source Code: Automation of University

4. Personal cloud 

You can create a personal cloud server with this project. Raspberry Pi and a Micro SD card will be required to build a private cloud. The hard drive will be the primary cloud storage in this project, and it will help you understand how a cloud server works. 

Source Code: Personal Cloud

5. Android Offloading 

Installing and offloading the processing requirements of an application is strenuous and time-consuming. The android offloading project aims to solve the problem by making it easy for applications to overload the compute parts explicitly. Using static analysis, this framework enhances an app's functionality. Users can choose a process and files to be encrypted and stored in the cloud. Visit AWS Cloud Practitioner Essentials Certification Training and learn AWS from scratch.

Source Code: Android Offloading

Intermediate Cloud Computing Projects with Source Code

Suppose you have a basic understanding of the cloud basics and you are comfortable working with computing, storage, and security. In that case, you must try a step forward than the entry-level projects. Here is the list of intermediate cloud computing projects from GitHub with source code. Let us check each in detail: 

1. Online blood bank system 

This cloud-based application serves as a central information database for the various blood deposits, including the donor's name and blood type information. The cloud can also store information such as blood type, storage data, blood type availability in a given area, etc. This facilitates quick access to blood in an emergency. 

GitHub Source Code: Online Blood Bank System  

2. Information Chatbot 

Most companies have implemented chatbots on their websites to improve customer service and increase efficiency. In this project, you will create a chatbot in Python that will interact with users, answer their questions, and collect data that you will save in a cloud database. 

GitHub Source Code: Information Chatbot  

3. Online bookstore 

This application can keep a catalog of books with the title, author, price, and even the ability to read them online. For the convenience of the customers, the books can be classified according to several criteria, such as author, genre, year of publication, and so on. 

GitHub Source Code: Online Bookstore  

4. E-learning 

Online education platforms are nothing new to today's generation. These platforms have their advantages, resources, and time and cost flexibility and thus rank among the most popular learning mediums. Converting the project to a cloud project can drastically reduce costs. A learning space where study materials and relevant videos are kept for the learner's benefit. They are available for students to access and use as needed. 

GitHub Source Code: E-learning  

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Advanced Cloud Computing Project Ideas with Source Code

If you are a professional and have a sound understanding of cloud technologies, then you must opt for advanced cloud computing projects to elevate your skills to the next level. Here are a few hard-to-crack cloud computing projects with source code: 

1. Bug tracking 

Bug tracking is a project aimed at detecting and tracking the type and location of a bug on a website or app. Some common real-world applications designed using this concept include Backlog and Zoho bug tracker. 

GitHub Source Code: Bug tracking  

2. File storage system using hybrid cryptography

The project's goal is to secure the files using hybrid cryptography. Such applications are used in banking applications and systems to protect information and data sets. 

You can encrypt the files with Blowfish because it is accurate and fast. Use symmetric algorithms for decryption. Even in remote servers, the hybrid technique can provide exceptional cloud security. With this project, you can add data security to your skill set, which is in high demand due to the increased frequency of security risks and attacks. Cryptography will be used to convert the data sets into unreadable forms. 

GitHub Source Code: File storage system

3. Rural banking 

This cloud project aims to create a cloud-based banking system for rural areas where banking facilities and amenities are inadequate to provide people with banking convenience.

GitHub Source Code: Rural banking

4. Data leaks 

SQL injection refers to data leakage in the database as a common business problem. It is an excellent portal for anyone working or planning to work as an e-commerce platform. The primary aim of SQL injectors is to safeguard data and secure the privacy of the information from scammers. Developers employ standard encryption technology to create this SQL injection system

GitHub Source Code: Data leaks

Best Platforms to Work on Cloud Computing Project   

Cloud offers different platforms on which you can run your projects. These platforms provide specific features based on which you can handle projects where you need to manage those particular aspects. Some of the cloud computing project platforms are:  

• Microsoft Azure:  Azure provides a wide range of services, making it the most accessible platform in the cloud environment. Any organization with any requirements can opt for Microsoft Azure as it will cater to all of them. It would be fair to say that Microsoft Azure is a dependable option for enterprises.  
• Google Cloud:  This platform provides new-age companies with a trustworthy, user-friendly, and protective cloud environment to the organizations. You get enough services in Google Cloud to cater to all the IaaS or PaaS requirements.  
• IBM Cloud:  The three models that IBM Cloud primarily focuses on are IaaS (infrastructure as a service), SaaS (software as a service), and PaaS (platform as a service). It is a cost-effective platform where you can make an adjustment to reduce the overall expense.  

Importance of Cloud Computing Projects

Whether you a professional getting started with cloud computing or an experienced folk with experience in the cloud, these projects will help you streamline your learning process in many ways. Check out the importance of cloud computing projects and why it is a must for you: 

• Cloud computing applications cover many domains, technologies, scales, and applications. Cloud computing mini projects or real-time cloud computing projects will provide adequate exposure and experience with cloud technologies. 
• With the massive expansion of both technologies, virtualization and cloud computing projects are in high demand. Cloud computing has several applications in terms of programming languages and frameworks. Java cloud computing projects, Android cloud computing projects, PHP cloud computing projects, and other popular programming languages can be developed. 
• Cloud computing projects for students have many applications in their academic careers. Cloud delivery and deployment models can be used to develop cloud computing projects for final-year engineering or cloud computing projects for MTech. Cloud computing projects are used in entertainment, education, healthcare, retail, banking, marketing, and other industrial and business domains. 

Factors Affecting Cloud Computing

Cloud computing based on the pay-as-you-go model is affected by a number of factors. Let us discuss each in brief: 

• Cost:  The developers must keep in mind that it must be cost-effective and allow the company to achieve cost-saving benefits. Most businesses choose Cloud Computing because it is less expensive. 
• Application in the future:  Its potential applications should be designed so that they not only benefit the company in terms of current needs but are also adaptable enough to benefit the organization in the future as changes occur. 
• Mobility:  It is essential to design a Cloud Computing project to be easily moved between private and public clouds to check and access resources or data. 
• Security:  Security is the top priority when considering the entire aspect of data and resources. As a result, data security should be prioritized while a project is being developed. 
• Increased bandwidth:  When working in the cloud, it is important to consider increased bandwidth. Increased bandwidth significantly reduces transfer times, especially when handling big chunks of data.

I hope, we have covered the top cloud computing projects along with source code. Cloud is a high-demand domain with an increasing number of opportunities. Companies are switching to cloud environments because of the accessibility and data safety features. So, it would be fruitful to consider planning a career in this domain. If you can gain proficiency and prove your worth in the market, you can enjoy a monetarily sound and secure professional career. Start by getting all the information about this industry and find projects that can give you the right kind of experience. You can also join Cloud Computing certification courses that can train you in the right tools and techniques to help you establish a promising professional career in the cloud. If you plan everything strategically, your dream job is not far-fetched.

Frequently Asked Questions (FAQs)

These are the projects one must do to know how the notions of cloud computing can be applied in the real world. 

Here are some cloud computing projects for beginners that you can build to learn more about the technology while also having fun: 

 A human-interfaced cloud-based student data chatbot. 

Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).

The father of cloud computing is American computer scientist J.C.R. Licklider.

The cost considerations in a cloud computing project include predicting the cost of cloud service. Furthermore, the cost of tools and the expense of individual resources also get included in cost consideration. 

The security considerations in a cloud computing project include network security risks. Furthermore, the cloud relies on shared resources, so you should consider separation and segmentation. 

The common challenges in implementing a cloud computing project include data security and privacy issues, multi-cloud environments, and high network dependencies. 

Kingson Jebaraj

Kingson Jebaraj is a highly respected technology professional, recognized as both a Microsoft Most Valuable Professional (MVP) and an Alibaba Most Valuable Professional. With a wealth of experience in cloud computing, Kingson has collaborated with renowned companies like Microsoft, Reliance Telco, Novartis, Pacific Controls UAE, Alibaba Cloud, and G42 UAE. He specializes in architecting innovative solutions using emerging technologies, including cloud and edge computing, digital transformation, IoT, and programming languages like C, C++, Python, and NLP. 

Avail your free 1:1 mentorship session.

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Upcoming Cloud Computing Batches & Dates

• Equity & Inclusion

UC Berkeley launches Sky Computing Lab to revolutionize the cloud industry

UC Berkeley formally launched this week a research lab aimed at building a new backbone for interconnected cloud computing, a milestone that would revolutionize the industry.

The Sky Computing Lab will establish a two-sided market mediated by services that identify and harness for users the best combination of compatible clouds for their needs. The market will catalyze innovation and competition, unleashing less costly and more secure computing power for scientists studying everything from self-driving car technology to human health.

“Today, more and more computation and more and more data is going to the cloud. There is no turning back from that,” said Ion Stoica , Databricks co-founder and the Berkeley computer science professor leading the lab. “Sky will knock out current barriers and accelerate the transition to the cloud, which will accelerate the progress across different fields.”

This lab is the latest in a series of five-year computer science labs at Berkeley focused on work from advancing basic research to software development. Efforts from these labs have resulted in influential research papers and groundbreaking start-ups like Databricks , Opaque , D2IQ , Alluxio and Ponder .

During the pandemic, cloud computing – providing services like data storage and video streaming over the internet – became increasingly important to all kinds of industries and organizations. And it’s expected to become more central to computing and society in the coming years. Sky Computing wants to shift the existing fragmented market, which can be costly and difficult for users who want to work across clouds, towards a utility market that is as connected and easy to use as the internet.

Some of the biggest names in cloud computing – including Google, IBM, Intel, Samsung SDS and VMware – are founding sponsors for the new lab. The lab’s team includes more than 60 Berkeley faculty, staff and students, including Natacha Crooks , Joseph Gonzalez , Raluca Ada Popa , Koushik Sen , Scott Shenker and Michael Jordan from the Department of Electrical Engineering and Computer Sciences. 

The Sky Computing Summer 2022 Retreat is being held May 25-27 in Incline Village, Nev., near Lake Tahoe.

Internet for the cloud

The mediator services, known as “intercloud brokers,” will be a linchpin of this new market format. Each will have a catalog holding information about the cloud’s services, compatibility, pricing and performance; a job in-take interface collecting descriptions of the user’s needs; and an optimizer generating a user-specific plan of what clouds to use when, and more.

Broker services will have tools to move or replicate data to the designated locations and to allocate resources and execute and troubleshoot the computational plan across clouds. They will also have a way to verify the identity of users and may have a billing component.

These brokers will operate on top of “compatibility sets,” which consist of services that are available across more than one cloud. In the future, Stoica expects cross-cloud agreements that allow for the free exchange of data to connect many of the disparate clouds.

“If you look at the internet, under the hood it's a collection of different networks and different technologies. But the internet ties them together. When you communicate, you do not know what different technologies and different networks are under the hood, right? You just send packets from A to B,” said Stoica. “Sky plans to do similarly for the cloud.”

This plan will expand the kinds and numbers of consumers interested in using cloud services, Stoica said. It will make it easier to use the hardware that’s right for user needs, regardless of which cloud originally held that application. Users will be able to aggregate resources across clouds to run large workloads that they couldn’t tackle on an individual cloud account. 

Users will also be able to find the most efficient and cost-effective approach for their computing task and to move their data to different cloud providers who best fit their current needs. This new technology will help companies more easily comply with data sovereignty rules in different countries and unlock new opportunities for multi-cloud security approaches to protecting their data. 

Smaller, specialized cloud providers could also more easily find customers and therefore find it easier to get off the ground and innovate. The growing numbers of new users moving to cloud computing because of the slew of new benefits and opportunities will benefit all cloud providers.

‘Nothing short of a revolution’

The Sky Computing Lab’s future is already becoming reality. With help from Berkeley artificial intelligence students, the team is testing an early version of an intercloud broker prototype for machine learning workloads. The team urged in a recent paper for other practitioners and researchers to join them in this all-encompassing effort.

“We should be clear that what we are proposing is nothing short of a revolution in an important technology ecosystem,” the team wrote in “ The sky above the clouds ,” a white paper recently posted on arXiv. “We don’t ask that readers accept Sky Computing as inevitable, merely as not impossible. And we invite interested readers to help us on this quest.”

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Client + Cloud Computing for Research

Established: February 25, 2010

Scientific applications have diverse data and computation needs that scale from desktop to supercomputers. Besides the nature of the application and the domain, the resource needs for the applications also vary over time—as the collaboration and the data collections expand, or when seasonal campaigns are undertaken. Cloud computing offers a scalable, economic, on-demand model well-matched to evolving eScience needs.

Azure Ocean — A Sea of Data in the Cloud

Project Members

• Nelson Araujo
• Roger Barga
• Keith Grochow (UW)
• Ed Lazowska (UW)

Bioinformatics Computation in the Cloud

• Michael Zyskowski
• Jared Jackson
• Bob Davidson
• Simon Mercer

ModisAzure — Azure Service for Remote Sensing Geoscience

ModisAzure is a science pipeline for download, initial processing, and reduction of satellite imagery. It is developed by Microsoft Research, UVa, UCB. The service dramatically lowers resource and complexity barriers to use satellite imagery for terrestrial hydrology and geoscience. Common imagery location is determined and uploaded from diverse sources into Azure blob store. Common reprojection and harmonization is performed at scale in Azure to produce science-ready imagery with the same length, time and quality attributes. Optional scientist-provided reduction algorithm (.NET, Java, or MatLab) can also be run in the Cloud. This provides on-demand scalability beyond the local desktop or cluster.

The ModisAzure service is in use now to compute 10 year continental scale water balance for North America. Per year:

• 500 GB (~60K files) upload of 9 different source imagery products from 15 different locations
• 400 GB reprojected harmonized imagery consuming ~3500 cpu hours
• 5 GB reduced science result leveraging reported field data aggregates consuming ~3600 cpu hour

Additional science requests to expand the service to cover Europe and to include additional source imagery products and formats is pending.

• Catharine van Ingen
• Marty Humphrey (UVA)
• Youngryel Ryu (UCB)
• Deb Agarwal (BWC/LBL)
• Keith Jackson (BL)
• Jay Borenstein (Stanford)
• Team SICT: Vlad Andrei, Klaus Ganser, Samir Selman, Nandita Prabhu (Stanford)
• Team Nimbus: David Li, Sudarshan Rangarajan, Shantanu Kurhekar, Riddhi Mittal (Stanford)

Tools to Transform the Potential of Cloud to Reality for Research

Cloud holds promise for science users across the computing spectrum, from desktop users who need on-demand compute power to HPC cluster users who wish to scale out further. The potential for effective research in the Azure Cloud will come to fruition only when there is a better understanding of its capabilities (and limitations) and tools are available to make it accessible to scientists. We present work that addresses these two issues to enable research across desktop client and the Cloud.

AzureScope is an online resource for practitioners and architects to understand the performance characteristics of Azure. This helps them select applications that are best suited to leverage the Azure platform. Besides repeatable micro-benchmarks that measure the performance characteristics of storage services like Blobs, Tables, Queue, XDrive and SQL Azure, it also monitors the healthy status of Azure fabric services. At a higher level, we report benchmarks of common distributed algorithms like Matrix Multiplication, Gigasort and Bio-Sequence Comparison, and identify best practices for running applications on Azure.

Project Contributors

• Yogesh Simmhan
• Girish Subramanian (Indiana Univ)

Related Links

• eXtreme Computing Group
• Azure Research Engagement
• TechFest 2010
• CodePlex: Microsoft Biology Foundation
• Collaboration Tools and Services
• AzureScope: Benchmarking and Guidance for Windows Azure
• Tools for Genome Haplotyping in the Windows Azure Cloud
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Top 40+ Cloud Computing Projects to Boost Your Cloud Skills

Get Your Hands On The Best Cloud Computing Projects And Take Your Big Data Career To New Heights. | ProjectPro

Want to put your cloud computing skills to the test? Dive into these innovative cloud computing projects for big data professionals and learn to master the cloud!

Cloud computing has revolutionized how we store, process, and analyze big data, making it an essential skill for professionals in data science and big data. According to a recent report by Meticulous Research, the global cloud computing market will likely reach $1,402.7 billion by 2030, at a CAGR of 16.8% from 2023 to 2030 . Another survey shows over 90% of professionals use cloud services daily for business operations. This shift presents abundant career opportunities, especially in big data and cloud computing , as businesses increasingly rely on cloud technologies. Therefore, gaining hands-on experience through practical projects in cloud computing is now essential for anyone looking to excel in this field. 

This blog invites you to explore the best cloud computing projects that will inspire you to explore the power of cloud computing and take your big data skills to the next level. Before diving straight into the projects, let us understand the significance of working on cloud computing projects for big data professionals.

Table of Contents

Why you must work on cloud computing projects, 40+ best cloud computing projects for practice in 2024, aws cloud computing project ideas, azure cloud computing projects for resume, gcp cloud computing projects, easy cloud computing-based projects for beginners, top cloud computing projects for intermediate professionals, advanced projects on cloud computing, cloud computing mini projects, big data and cloud computing projects with sql, cloud computing projects on github, excel in big data with cloud computing projects by projectpro, faqs on cloud computing projects.

Cloud computing-based projects will give you adequate exposure and experience in cloud technologies and other essential skills, such as data analytics , business intelligence , and analytical abilities. But why go to lengths and work on such projects? Here are a few pointers to motivate you:

Cloud computing projects provide access to scalable computing resources on platforms like AWS, Azure , and GCP, enabling a data scientist to work with large datasets and complex tasks without expensive hardware.

Working on cloud computing projects offers hands-on experience with cutting-edge tools like AWS Glue, Amazon S3, and Redshift, enhancing data extraction, storage, and analysis skills, giving a competitive edge in the job market.

Projects allow students and professionals to develop expertise, gain practical experience, and increase chances of career advancement and job opportunities.

Besides these, it is essential to remember that cloud computing is a bonus skill as you can use your existing skills to build projects like Java cloud computing projects, Android cloud computing projects, cloud computing projects in PHP, or any other popular programming language. Prasad Rao, principal solutions architect at AWS, highlights the same in this post:

Now that you know the significant benefits of practicing cloud computing projects for students and working professionals, let us walk you through some exciting project ideas for cloud computing that will help you explore the vast possibilities of cloud computing in big data.

Below is a list of unique cloud projects divided into various categories for a smoother browsing experience. You can pick any of these cloud computing project ideas to develop and improve your skills in the field of cloud computing along with other big data technologies. 

1) Hosting A Static Website

2) Repair Techniques For Transportable Storage Devices

3) migration of mysql databases to cloud aws, 4) website monitoring, 5) real-time sentiment analysis, 6) e-commerce predictive analytics.

7) Serverless Pipeline

8) Covid-19 Data Querying System

9) Movie Recommendation Engine

10) Customer Segmentation

11) attendance system, 12) bus ticketing and payment system.

13) Hosting A Dynamic Website

14) Real-Time Streaming

15) web server log processing, 16) data governance, 17) remote-controlled smart devices, 18) passenger survival prediction.

19) Explore Cloud Functions

20) Analytics Dashboard

21) iot data processing system, 22) data redundancy removal system, 23) big data processing pipeline, 24) online blood bank system, 25) online book store system, 26) smart chatbot, 27) taxi service data analysis, 28) secure text transfer application, 29) university campus online automation, 30) rural banking.

31) Android Offloading

32) Hybrid Cryptography

33) smart traffic management, 34) e-bug tracker, 35) personal cloud with raspberry pi, 36) e-learning app, 37) data warehousing, 38) data analytics pipeline.

39) Covid Tracking Pipeline

40) NYC Service Request Data Analysis

Below are a few unique AWS cloud computing project ideas if you are more comfortable working with AWS services -

1) Hosting A Static Website 

A static website consists of web pages whose content remains fixed and unchanged unless manually updated by a developer. It typically showcases basic information without dynamic or interactive elements, such as text, images, and multimedia. These websites are more straightforward to create and cost-effective to host and are suitable for displaying content that does not require frequent updates or user interaction. AWS is well-suited for hosting static websites, offering scalable storage with Amazon S3 and enhanced performance through CloudFront.

Project Idea: To build this AWS project , start designing and developing the static website using HTML, CSS, and JavaScript. Then, the cloud storage service Amazon S3 will host the website's static files, ensuring high availability and scalability. Amazon CloudFront can be used as a content delivery network (CDN) to cache and distribute website content to users from edge locations. You must also register a domain name through Amazon Route 53 and configure DNS settings to route traffic to the S3 bucket hosting the website. Implement Amazon Certificate Manager (ACM) to secure the website with SSL/TLS encryption.

Services Used: Amazon CloudFront, AWS S3

Consider a scenario where a photographer's external hard drive containing years of valuable work suddenly fails. The need for repair techniques for transportable storage devices becomes evident as the photographer risks losing irreplaceable photos. In this situation, repair techniques such as connector replacement or data recovery software are essential to retrieve the lost data and restore functionality to the storage device. These techniques ensure that critical data remains accessible and protected, highlighting their importance in safeguarding valuable information stored on transportable storage devices.

Project Idea: Create a dataset containing users' issues with storage devices, like HDD failures or data corruption. Cloud-based storage services like AWS S3 can be used to store and manage this dataset securely. Use AWS Glue for data analysis and repair techniques. Implement algorithms for data recovery and repair, such as RAID configurations or error correction codes (ECC) offered by AWS SageMaker . 

Services Used: AWS Glue, AWS S3, AWS Glue, AWS SageMaker

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Migrating MySQL databases to AWS offers numerous benefits. It enhances scalability, seamlessly allowing databases to adjust to changing workloads and storage requirements. AWS's robust security measures ensure data protection and compliance with regulatory standards. Additionally, it improves reliability and reduces downtime through automated backups and high-availability features. With AWS's managed services, businesses can focus on innovation rather than database management, leading to increased agility and cost savings.

Project Idea: To implement this project, begin by familiarizing yourself with AWS migration services, especially AWS DMS. Implement a Bastion Host for data security and use AWS SCT for schema conversion. Create an Aurora Postgres instance using RDS and deploy DMS SCT between MySQL and Postgres. Migrate database elements, analyze migration data, and load it into AWS S3. Utilize Glue to create a Data Catalog, query data with Athena, and prepare data for Timestream. Finally, load data into Amazon Timestream DB and visualize geospatial data using QuickSight for comprehensive insights.

Source Code: Migration of MySQL Databases to Cloud AWS using AWS DMS  

Services Used: AWS DMS, AWS Athena, Amazon Timestream DB, Amazon QuickSight, AWS SCT.

Website monitoring involves continuously tracking a website's performance and availability. It checks server uptime, page load times, and transactional processes to ensure optimal functionality. Website monitoring helps minimize downtime and maintain a positive user experience by promptly detecting issues. This project involves utilizing AWS services for website monitoring. 

Video: https://www.youtube.com/watch?v=_vKUU5SmJSw  

Project Idea: The solution includes deploying EC2 instances for server management and serverless computing, incorporating MySQL databases with Amazon RDS and Aurora, and implementing real-time data streaming via Amazon Kinesis . You will learn how to implement data analytics with Kinesis Data Analytics, log streaming, and notification services using Amazon SNS. The project emphasizes end-to-end testing of AWS Lambda functions and integration with DynamoDB for data storage. 

Services Used: Amazon DynamoDB, Amazon Kinesis, AWS Lambda, AWS EC2, Amazon RDS, Amazon Aurora, Amazon SNS

Source Code: AWS Project-Website Monitoring using AWS Lambda and Aurora  

Real-time sentiment analysis enables businesses to gauge customer opinions from social media and reviews swiftly. This immediate insight supports proactive decision-making, identifying emerging trends, addressing concerns promptly, and optimizing marketing strategies, ultimately enhancing customer satisfaction and brand reputation for sustainable business growth. Cloud computing facilitates real-time sentiment analysis by providing scalable, on-demand computing resources for processing vast amounts of text data, enabling businesses to derive actionable insights quickly and efficiently.

Project Idea: Start by using relevant APIs or data connectors along with AWS Kinesis to create a data stream to collect and store data from social media platforms like Twitter. If you do not want to scrape data, you can use publicly available social media datasets, such as the Sentiment140 dataset. Next, use AWS Lambda to trigger the Kinesis stream when new data is available. After that, utilize AWS Comprehend to analyze the sentiment of the incoming data in real-time, as it can identify the sentiment of the text and key phrases, entities, and other relevant information. Finally, AWS QuickSight can be used to create dashboards that show the sentiment distribution of the data, along with any other relevant metrics.

Services Used: AWS Kinesis, AWS Lambda, AWS QuickSight

E-commerce predictive analytics uses data analysis and machine learning algorithms to forecast customer behavior, trends, and outcomes in online retail settings. By analyzing past data and patterns, businesses can make informed decisions regarding inventory management, pricing strategies, and personalized marketing campaigns to optimize sales and enhance customer satisfaction.

Project Idea: To build this project, begin by grasping ETL on Big Data and the concepts of staging and Data Lake . Set up IAM Roles and Policies, then analyze the dataset. Configure AWS CLI and comprehend Data Streams, Amazon Kinesis, and Apache Flink . Create a Kinesis Data Analytics Application and utilize Glue and Athena to define the Partition Key. Understand Lambda Functions, then create functions for DynamoDB and SNS integration. Learn DynamoDB Data Modeling and integrate Lambda with Kinesis. Perform ETL for Parquet format using Glue DataBrew and Spark, and finally, create QuickSight Dashboards for comprehensive data visualization and analysis.

Source Code: Build an Analytical Platform for eCommerce using AWS Services  

Services Used: AWS S3, AWS Glue, AWS Athena, AWS Cloud9, Apache Flink, Amazon Kinesis, Amazon SNS, AWS Lambda, Amazon CloudWatch, QuickSight, Apache Zepplin, Amazon DynamoDB, AWS Glue DataBrew

7) Serverless Pipeline  

A serverless pipeline is a sequence of automated tasks or stages for processing and deploying software applications without the need to manage servers or infrastructure. It leverages cloud servicing tools, like AWS Lambda and Azure Functions, to execute tasks in response to events or triggers, enabling scalable and cost-efficient development workflows.

Project Idea: This project will teach you how to build a serverless pipeline using AWS CDK and other AWS serverless technologies like AWS Lambda and Glue. You will get a better understanding of AWS CDK and its various commands. You will create an AWS Cloud9 environment and then clone the GitHub repository in the AWS Cloud9 environment. This cloud-based project will help you better understand the Lambda stack, the Glue pipeline stack, and the Glue database stack. Once you deploy the AWS CDK pipeline, you will perform further analysis using Amazon Athena and create visualizations using Amazon QuickSight .

Source Code: Build Serverless Pipeline using AWS CDK and Lambda in Python

Services Used: AWS S3, Amazon Lambda, Amazon Aurora, AWS Glue, Amazon Athena, Quicksight, AWS CDK

A data querying system efficiently retrieves specific information from databases or datasets, enabling users to extract relevant data based on criteria. It supports data analysis, reporting, and decision-making by accessing and manipulating large volumes of data, facilitating insights and informed decisions across industries and domains.

Project Idea: In this cloud-based project, you will use AWS Athena, a serverless SQL query engine, to analyze the Covid-19 database that contains timestamps, posts, and comments related to Covid. You will learn to use AWS Glue to generate tables and experiment with different Athena joins. You will build tables using Python and crawlers in the AWS Glue Data Catalogue. Working on such a project will give you a better understanding of how the pricing of AWS Athena varies according to file size. Other services used in this cloud-based project include Amazon S3, Amazon CloudWatch , etc. You will store the dataset (CSV file) in S3 buckets using AWS S3, and CloudWatch monitors the log files for your data and allows you to analyze them as and when necessary. This project is essential if you are looking for Python cloud computing projects.

Source Code: Covid-19 Data Querying Using Python and AWS

9) Movie Recommendation Engine 

A movie recommendation engine is a system that suggests films to users based on their preferences and behavior. Cloud computing aids recommendation engines by providing a scalable infrastructure to process vast amounts of user data, enabling personalized recommendations and enhancing user experience with on-demand access and seamless scalability.

Project Idea: This cloud engineer project involves building a cloud-based recommendation engine using Amazon SageMaker and Amazon EC2. Use a sample dataset that contains user behavior data, such as the MovieLens dataset, which includes movie ratings and user behavior data. Store the dataset in Amazon S3 and use Amazon Glue to extract, transform, and load the data from S3 to Amazon SageMaker. Build the recommendation model in Amazon SageMaker using the factorization machines approach since it efficiently processes large datasets and can provide users with accurate predictions. You will also use Amazon EC2 to create a scalable web service that offers real-time recommendations to users based on their behavior. You will deploy the recommendation engine using Amazon API Gateway to create a RESTful API that interfaces with the recommendation model.

Services Used: Amazon S3, Amazon SageMaker, Amazon GLue, Amazon API Gateway, Amazon EC2

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Customer segmentation divides a customer base into groups with similar characteristics or behaviors. It gives invaluable insights into user behavior, enabling more targeted and effective marketing campaigns and ultimately enhancing customer engagement and driving business growth.

Project Idea: Use Amazon Glue to extract and process data from CRM, marketing, and analytics sources. Store the processed data in AWS S3, then analyze it using Redshift with advanced SQL queries for customer segmentation. Utilize SageMaker to forecast customer behavior with machine learning models. Train and deploy these models, leveraging SageMaker's built-in algorithms like decision trees or logistic regression . 

Services Used: AWS S3, AWS SageMaker, AWS Glue.

Here are a few fascinating cloud-based projects in Azure to help you understand the Azure cloud capabilities in detail-

An attendance system tracks and records the presence of individuals, often employees or students, at a particular location or event. Cloud computing enhances attendance systems by providing a scalable infrastructure to securely store and process attendance data. Utilizing cloud services, such as Azure , enables easy access to attendance records from anywhere, streamlines data management, and facilitates real-time monitoring and reporting. Additionally, cloud computing-based solutions offer flexibility, cost-effectiveness, and integration with other systems, enhancing the efficiency and effectiveness of attendance-tracking processes for organizations of all sizes.

Project Idea: Set up an Azure cloud platform to host the Cloud-based Attendance System. Download a sample dataset that has captured attendance data using RFID cards or biometric devices, recording in-time, ID number, and out-time upon scanning. Store attendance records securely in Azure SQL Database for easy access and management. Utilize Azure Active Directory for user authentication and access control. Use Azure Functions for real-time tracking and report generation. Implement machine learning algorithms like Isolation Forest or One-Class SVM for anomaly detection and validation to ensure data accuracy and system optimization.

Services Used: Azure SQL Database, Azure Functions

Many public transport services have adopted cloud-based ticketing systems to optimize operations and enhance customer satisfaction. Such systems enable round-the-clock commuter accessibility and ensure convenient access to bus passes, facilitating hassle-free commutes. 

Project Idea: Start building this Azure-based cloud project by setting up an Azure cloud environment to host the system. Then, design a user-friendly web or mobile application that allows customers to browse, choose, and buy tickets. For the backend, use Azure Functions to handle ticket bookings and process payments securely with Azure Key Vault for encryption. You will manage ticket inventory and schedules using Azure SQL Database or Azure Cosmos DB for data storage. To ensure smooth ticket transactions, you will integrate Azure Active Directory for user authentication and access control. For data analytics and insights, you will use Azure Application Insights to monitor system performance and user behavior. Additionally, you can use Azure Machine Learning to analyze ticket booking patterns and forecast demand during peak times, enabling efficient resource allocation.

Services Used: Azure Functions, Azure Key Vault, Azure SQL Database, Azure Cosmos DB, Azure Active Directory, Azure Machine Learning, Azure Application Insights

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13) Hosting A Dynamic Website 

A dynamic website is a type of website that displays different content to users based on their interactions or preferences. Unlike static websites with fixed content that remains unchanged until manually updated, dynamic websites generate content on the fly in response to user input or database queries. They often incorporate features such as user authentication, interactive forms, content management systems, and e-commerce functionalities. Dynamic websites use server-side scripting languages like PHP, Python, or Ruby, along with databases, to dynamically generate and serve personalized content to users.

Project Idea: To host a dynamic website using Azure services, you will start by developing the website using HTML, CSS, and JavaScript. Use a server-side technology like ASP.NET, Node.js, or Python with Flask for dynamic content. Deploy the website on Azure App Service, which scales automatically to accommodate traffic. For data storage, use Azure SQL Database or Azure Cosmos DB to store dynamic content, user data, or other relevant information. Ensure data security by integrating Azure Active Directory for user authentication and access control. To enhance website performance and user experience, use Azure Content Delivery Network (CDN) to cache and deliver content from nearby servers. Azure Application Insights can also be integrated to monitor website performance, identify bottlenecks, and track user behavior.

Services Used: Azure App Service, Azure Cosmos DB, Azure Active Directory, Azure Content Delivery,  Azure Application Insights

Real-time streaming in cloud computing involves the continuous transmission of data from a source to a destination, enabling immediate processing and analysis. It facilitates the delivery of live data streams for applications such as IoT, monitoring, and analytics, allowing for rapid insights and timely decision-making.

Project Idea: Create resource groups and configure a compute cluster in Databricks. Then, mount the dataset in Blob using Scala within Databricks. Gain a deep understanding of Structured Streaming to process streaming data effectively. Create an Event Hub and set up a Snowflake account, enabling seamless data streaming from Databricks into the Event Hub and consumption afterward. Finally, the streamed data will be loaded into Snowflake for comprehensive analysis.

Source Code: Databricks Real-Time Streaming with Event Hubs and Snowflake  

Services Used: Azure Blob Storage , Azure Databricks, Azure Event Hubs, Snowflake

Web server log processing involves analyzing log files generated by web servers to extract valuable insights. It includes parsing log entries to gather information such as user requests, IP addresses, URLs accessed, and response codes. This data is used for various purposes, including website performance monitoring, security analysis, and user behavior tracking.

Project Idea: To begin, set up a Virtual Machine (VM) instance in Microsoft Azure and connect to it using Putty. Install different big data tools on the VM. Learn about log files and why processing them matters. Understand terms like "referrer" and "user agent" and the contents of log files—Discover Flume's role in log data processing and ingestion. Finally, Flume and Spark are used to process log data and analyze it with Hive.

Source Code: Web Server Log Processing using Hadoop in Azure  

Services Used: Microsoft Azure, Hadoop, Hive, Flume, Spark

Data governance is the framework of policies, processes, and controls that ensure data is managed effectively throughout its lifecycle. It defines roles, responsibilities, and procedures for data management, including data quality, security, compliance, and privacy, to maximize its value and minimize risks within an organization.

Project Idea: To start, create an Azure Purview account for efficient data asset management. Then, create and scan Purview collections to organize and analyze data. Explore the Purview user interface to familiarize yourself with its functionalities. Understand the Purview glossary and assets to ensure accurate data management. Learn about access control in Purview and implement best practices for effective governance. Finally, understand the limitations of Azure Purview to make informed decisions during the project development.

Source Code: Getting Started with Azure Purview for Data Governance  

Services Used: Azure Logic Apps, Azure Storage Account, Azure Data Factory , Azure SQL Databases, DBeaver, Azure Purview

Remote-controlled smart devices are Internet-connected gadgets controlled remotely via smartphones or other devices. They use cloud computing for data storage, processing, and remote access. Cloud platforms enable users to control devices from anywhere, access data, receive updates, and integrate seamlessly with other smart home systems.

Project Idea: Start building this exciting cloud project by selecting various smart devices, such as smart bulbs, plugs, or thermostats, that support remote control and integration with cloud platforms. Next, these devices can be connected to a cloud-based IoT service, like Azure IoT Hub, to enable remote control and management. Use cloud-based services like Azure Stream Analytics to process and analyze the data generated by the selected smart devices and gain valuable insights into device usage, energy consumption patterns, and user behavior. Build a web or mobile application using cloud-native development tools such as Azure App Service to interact with smart devices through the IoT service, allowing users to control their devices from anywhere remotely.

Source Code: Smart Home System

Services Used: Azure IoT Hub, Azure Stream Analytics, Azure App Service

The dataset for Titanic Passenger Survival Prediction contains information about passengers aboard the Titanic, including demographics, ticket class, and survival status. It provides valuable insights for analyzing and predicting survival probabilities based on various factors. The Titanic Passenger Survival Prediction project offers beginners valuable hands-on experience in data analysis, machine learning , and cloud computing, enhancing their practical skills and portfolio in deploying data science projects on the cloud.

Project Idea: For this Azure cloud computing project, you can use the Titanic dataset, which contains information about passengers on the Titanic and whether they survived. You will first store the dataset in the Azure Data Lake Storage, clean and transform it using tools like Azure Databricks , and then store it in a structured format using Azure SQL Database. You will use Azure Data Lake Analytics to perform data analytics and exploratory data analysis. After cleaning and transforming the data, you can build ML models using Azure Machine Learning. You can use various algorithms like linear regression, decision trees, neural networks, etc., to predict whether a passenger will survive based on their characteristics.

Services Used: Azure Data Lake Storage, Azure SQL Database, Azure Machine Learning, Azure Data Lake Analytics

This section has projects on cloud computing that can be implemented using cloud services provided by Google Cloud Platform .

19) Explore Cloud Functions 

Cloud Functions are event-driven serverless compute services that enable developers to run code without provisioning or managing servers, allowing for rapid development and scaling of applications in response to demand.

Project Idea: In this beginner-friendly cloud computing project, you will explore GCP's cloud services, such as cloud storage, cloud engine, and PubSub . This project will introduce you to the Google Cloud Console and teach you the Cloud Storage concepts and classes. You will start working on this cloud-based project by installing Python and other dependencies, and then you will learn how to create a Service Account and set up Gcloud SDK. This project will show you how to set up a GCP Virtual Machine and SSH configuration. Working on such a project will give you a better understanding of the Pub/Sub Architecture, Pub/Sub Topic, and the implementation of Pub/Sub notification using GCS.

Source Code: Explore Cloud Functions using Python And GCP

Services Used: Google Cloud Storage, Compute Engine, Pub/Sub

Cloud computing simplifies Analytics Dashboard creation by providing scalable infrastructure and managed data processing, storage, and visualization services. It streamlines development and deployment processes while ensuring accessibility and flexibility for users. Creating a cloud-based analytics dashboard using SQL-based cloud services like Google Data Studio is an effective technique for analyzing and visualizing data from multiple cloud sources. 

Project Idea: We suggest building a Google Looker analytics dashboard for this project. You can use datasets from sources like Google Analytics, Facebook Ads, or Salesforce , commonly stored in a cloud-based database- Google Cloud SQL. You must use SQL queries or APIs to connect to these databases for data retrieval. Use Google Cloud Storage to store and manage the data. Next, you must create a data source in Google Looker and connect to it using Google Cloud Dataflow to extract and transform the data. You will then create a data model using SQL to prepare the data for analysis. You can also use tools like Apache Spark or Google BigQuery to transform and analyze the data. Once the data is ready, you can create visualizations using various chart types and customizations to create interactive dashboards in Google Looker.

Services Used: Google Looker, Google Cloud SQL, Google Cloud Storage, Google BigQuery

Leveraging cloud computing, an IoT Data Processing System efficiently manages and analyzes large volumes of sensor data from connected devices, enabling real-time monitoring, intelligent automation, and seamless integration with other cloud-based services for enhanced functionality and scalability. For this exciting cloud computing project, you will develop a cloud-based IoT data processing system using an SQL-based cloud database- Google Cloud IoT Core. You can use publicly available IoT datasets like the IoT Sensor Dataset from the UCI Machine Learning Repository, which contains sensor data from temperature, humidity, light, and carbon dioxide sensors in a university building. 

Project Idea: First, collect and store the data using Google Cloud IoT Core. Next, use tools like SQL Workbench, DBeaver, or Aqua Data Studio to create and manage the database schema. Use Google Cloud SQL to create the SQL-based cloud databases. Once you have made the cloud databases, use SQL queries to analyze the sensor data stored in the cloud databases. For instance, you can use aggregate functions to calculate average, maximum, or minimum values for temperature and humidity over a specific period. You can also perform data transformations and joins to combine data from multiple sensors or sources.

Services Used: Google Cloud IoT Core, Google Cloud SQL

With cloud computing, a Data Redundancy Removal System optimizes data storage by leveraging scalable cloud storage solutions and advanced data deduplication techniques. It minimizes duplicate data and maximizes storage efficiency while ensuring data integrity and accessibility.

Project Idea: Build the Data Redundancy Removal System by obtaining a sample dataset with duplicate or redundant records. Cloud-based storage services like Google Cloud Storage can be used to store and manage the dataset securely. You will employ cloud-based data analytics services like Google Cloud Dataflow to preprocess the data, identify duplicate records using algorithms like Levenshtein distance or cosine similarity, and remove redundant entries. Consider using distributed computing and parallel processing capabilities provided by cloud platforms like Google Cloud Dataproc for large-scale data redundancy removal. You can implement version control and logging using cloud-based monitoring tools like Google Cloud Monitoring.

Source Code: Data Redundancy Removal System

Services Used: Google Cloud Dataflow, Google Cloud Dataproc, Google Cloud Monitoring

A Big Data Processing Pipeline is a series of automated data processing tasks designed on cloud infrastructure. It enables the ingestion, transformation, analysis, and visualization of massive datasets, facilitating timely insights and informed decision-making for businesses across various industries.

Project Idea: In this cloud engineer project , you will build a big data processing pipeline using GCP services like Google Cloud Dataflow , Google BigQuery, and Google Cloud Storage. Use publicly available datasets like the New York Taxi or Wikipedia datasets for this cloud computing project. Store the dataset in Google Cloud Storage and then process it using Google Cloud Dataflow. Use Apache Beam to write your data processing pipelines in Java or Python. Store the processed data in Google BigQuery for easy querying and analysis. You will also use Google Data Studio to create interactive visualizations and dashboards to explore your data. Employ ML algorithms to perform predictive analytics on the data to improve the data processing pipeline in this cloud-based project. Create and deploy your models using Google Cloud ML Engine, a managed service for creating and training machine learning models.

Services Used: Google Cloud Dataflow, Google Cloud ML Engine, Google BigQuery, Google Cloud Storage, Google Data Studio

Below are a few beginner-friendly cloud computing projects ideas for those just starting with this powerful technology-

An Online Blood Bank System is a centralized platform connecting blood donors with recipients, facilitating efficient and timely blood donations. Donors can register, schedule donations, and receive notifications, ensuring a seamless donation process. Many city blood banks have deployed their websites and mobile apps to search for blood based on blood groups. Even Facebook now enables users to set alerts for blood bank requests, enhancing the reach and efficiency of blood donation efforts.

Project Idea: An automated cloud computing blood banking system can be deployed as a website using the public cloud model. The front end can be developed using PHP, and the data storage can be handled using MySQL. Chatbots can also be included in this system to facilitate searching for available blood types, requesting donations, receiving timely assistance, optimizing blood supply management, and saving lives.

Online bookstores like Amazon revolutionized the retail industry by offering vast selections, convenient browsing, and personalized recommendations, transforming how people discover and purchase books worldwide. These platforms provide access to diverse literature and serve as hubs for community engagement and knowledge dissemination, fostering a culture of reading and learning. Independent and Oxford bookstores are examples of such systems deployed as public cloud services, further expanding access to literature for users everywhere.

Project Idea: You can build an online bookstore system using ASP.Net or C# as the programming language and store the database sets in the SQL database. The bookstore system will include the title, author, description, cost, and availability status. You can deploy the functionalities like login, register, browse books, search books, buy books, cancel orders, track orders, and log out of this system. You can sync the book inventory management in the back end to provide the real-time availability status of the books. To further enhance the system functions, you can integrate discussion forums and social media integration so that bibliophiles can interact.

Project Idea: This project aims to provide real-time and instant replies to the queries put forward by the customers. You can use retrieval-based or generative-based models to work on the chatbot application. You must pre-define the input patterns to deploy the chatbot function on a commercial website. You can include the list of responses and map them with the keywords and questions. You can also work on the chatbot application using sequential neural networks , but the answers will not be pre-defined in this case.

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Below are a few intermediate cloud computing projects for those familiar with this technology and looking to understand better how to build a cloud computing project-

Project Idea: This cloud project aims to analyze the data of cab services to assist the organization's ineffective strategy development and decision-making—as many cab and taxi services function based on a mobile app. You can easily acquire the data from such an application to plot a passenger's trip in a day or over a month. You can then develop analytics codes and algorithms to provide the statistics based on individual passenger/driver data or location-based analysis. You can generate a heatmap from all the information and map a particular city's rides.

Securely sharing textual information is imperative, especially in the banking sector, where countless transactions occur every second, emphasizing the need for privacy, confidentiality, and integrity. Cloud computing facilitates this through enhanced secure data exchange, offering encrypted channels and robust authentication mechanisms, thereby safeguarding the privacy and integrity of shared information.

Project Idea: This project focuses on data security and cloud computing. Encryption is a security technique for preserving information properties. Diffie-Hellman key exchange is a suitable algorithm for encryption and decryption, as it will serve the private and public keys involved in encryption and decryption. An SQL database for data storage is recommended, as it has built-in security tools and features. You can also use Azure cloud servers to automate the entire process.

All the major universities worldwide, such as New York University, University of Sydney, etc., implement cloud-based systems for managing campus activities. Such systems automate university campus operations to streamline student enrolments and registrations, attendance management, class scheduling, and grading functionalities. 

Project Idea: You can build such an automated system using Java and SQL Server as the programming language and database for the front-end and back-end of the system, respectively. The end-users of this system will be the students, admin, and faculty. You can replicate one or multiple campus activities of your college or university. For example, you can focus on the talent management and placement cell, including student registration, posting vacancies, applications for an open vacancy, and status updates. You can also combine multiple university campus activities, such as training and placement, student enrolments, attendance management, and class schedules.

Below are three advanced cloud computing projects for those looking to become an expert at using cloud technology-

Banking services often need to be improved in rural areas. A Cloud-based banking system can provide rural residents with more accessible banking services. Real-world examples such as regional rural banks, rural banking apps, and Agri rural banks demonstrate how cloud technology transforms rural banking, offering communities improved access and financial inclusion.

Project Idea:  You can work on this rural banking project with the public cloud as the delivery model. PHP can be the preferred programming language for developing the application owing to the robustness and flexibility offered by the language. Functional and non-functional requirements will be crucial for this cloud-based project. You can include functionalities like login, registration, open account, view balance, account statement, transfer funds, query, and logout. On the non-functional side, you must prioritize security, usability, and availability as the primary system qualities. To protect against this, you can include one-time passwords for login to improve access control and authentication. You should also use the system's digital signatures and data encryption algorithms, such as the Advanced Encryption Standard (AES).

31) Android Offloading 

Android offloading involves transferring computing tasks from Android devices to remote servers or the cloud to enhance performance and save battery. Cloud computing supports this by offering scalable resources that can handle intensive tasks efficiently. Android devices can conserve energy and processing power by offloading tasks to the cloud. Additionally, cloud services provide access to extensive storage and data processing capabilities, enabling complex tasks without burdening the device.

Project Idea: This project aims to prevent automated offloading used by application developers. Many application developers prefer to have access to such an application to design better mobile and web apps using the Android framework. With this framework, you can offer the end-users the ability to improve the application capabilities based on static analysis. Users can select a specific process or a file for the process as a cloud with encryption. The timestamp can be calculated based on the selections. The application must then make an automated analysis and offload the parts as required. Timestamp statistics will enable the organization to make data-driven decisions. One of the critical areas you must consider is that the application works and responds based on the data provided. Lastly, you must maintain and improve the data quality at all times.

Banking applications rely on robust security measures to detect data leaks and protect sensitive database information. This project aims to demonstrate the construction of a secure file storage system leveraging hybrid cryptography techniques. Implementing this solution on cloud computing infrastructure ensures enhanced data protection and confidentiality, which are essential for safeguarding critical files and maintaining the integrity of sensitive information.

Project Idea: You can use Blowfish to encrypt the files, as it can perform encryption with utmost accuracy and speed. For decryption, we suggest using symmetric algorithms. The hybrid technique can offer exceptional cloud security even on the remote server. The application of cryptography will convert the data sets into unreadable formats. The file storage system will embed the security key in an image by LSB so that the key's security is never compromised. After working on such data security cloud projects, you can add data security to your skillset, which is highly on-demand due to the increased frequency of security risks and attacks.

This intelligent traffic management project is designed to acquire real-time traffic data and mitigate road congestion effectively. By leveraging cloud computing and big data technologies, the project offers opportunities to enhance traffic infrastructure, reduce response times, and alleviate congestion. Additionally, integrating wireless sensor networks and location-based services further augments the project's capabilities in achieving efficient traffic management.

Project Idea: You shall work on vehicle routing algorithms and predictive analytics techniques to determine bottlenecks and suggest details for real-time route optimization. Wireless networks will provide access to location details and real-time traffic information. Use the Hadoop ecosystem to implement the three-layer framework comprising open-source components. Decision-making and support can be performed using data mining and feature extraction. These will then be implemented over a web app so the end-user can access the system.

Are you looking for some exciting and unique cloud computing mini project topics? Here are a few unique and simple cloud computing projects for final-year students looking to gain cloud computing skills-

An e-bug tracker identifies and traces the source and nature of bugs within websites or applications. Real-world examples like Backlog and Zoho Bug Tracker follow similar principles, offering efficient bug detection and tracking solutions in software development projects.

Project Idea: This project can include three modules: admin, staff, and customer. If a bug is detected, the admin can immediately contact the staff and customers and implement the corresponding solutions. Customers and staff members can send the bug details to the admin. Python is recommended as the language for this project. In this app, you can include bug case flow status details and share real-time updates with staff members and customers.

Cloud servers are utilized across public, private, and hybrid cloud environments, catering to both personal and business applications. They offer scalable, flexible, and cost-effective solutions, accommodating diverse needs ranging from individual users to large enterprises seeking robust computing resources and infrastructure.

Project Idea: This mini project on cloud computing will give readers an in-depth understanding of the cloud server and its functioning as they build a personal cloud server. To develop a private cloud, you will need a Raspberry Pi and a Micro SD card. The hard drive will be the primary cloud storage in this private cloud project.

Here are a few innovative cloud engineer projects with SQL you might want to explore-

E-learning has been a popular learning method, and its usability has increased after the outbreak of the Covid-19 pandemic. Learning apps offer flexible, personalized learning experiences accessible anytime, anywhere, breaking down barriers to education. Through interactive features and adaptive content, they engage users and enhance retention. Another benefit of such apps is allowing users of all backgrounds to pursue knowledge and skill development at their own pace. 

Project Idea: Using cloud computing, you can develop and deploy a Java-based app offering e-learning solutions with 24x7 availability. Learning, sharing, and reusing will be the significant components of this app. The app can include live sessions and offline learning with learning material in the SQL database synced with the front end. You can further extend the application functionalities by including AI-based recommendations. For example, you can sync online libraries and databases with the app and provide the students with recommendations based on their browsing and learning history.

Data warehousing is collecting, storing, and managing large volumes of structured and unstructured data. It involves organizing data into a centralized repository for analysis, reporting, and decision-making purposes. Data warehouses facilitate efficient data retrieval, integration, and analysis for business intelligence and strategic insights. In this cloud-based project, you will build a cloud-based data warehousing solution using SQL and cloud computing services. You can use public datasets like New York City Taxi and Limousine Commission (TLC) trip data or the World Bank's Climate Change Knowledge Portal. 

Project Idea: Cloud computing services like Amazon S3, Google Cloud Storage, or Microsoft Azure Blob Storage can be used to store and manage data. Next, create a database schema using SQL. You can use tools like SQL Workbench, DBeaver, or Aqua Data Studio to create and manage the database schema. Cloud computing services like Amazon Redshift, Google BigQuery , or Microsoft Azure SQL Data Warehouse can be used to design the data warehouse . Once you have created the data warehouse, use SQL to load the data into the database and perform analysis. You can use SQL queries to aggregate, transform, and visualize the data. You can also use ML algorithms like regression or clustering to gain insights from the data.

Below are some cloud computing projects with source code from GitHub for those willing to try their hands on some unique cloud-based projects-

This Github project will offer you cdk scripts and sample code for implementing end-to-end data pipelines to replicate transactional data from MySQL DB to Amazon OpenSearch Service through Amazon Kinesis using Amazon Data Migration Service (DMS). You will create an Aurora MySQL Cluster and Amazon Kinesis Data Streams for the AWS DMS target endpoint. You will create a sample cloud database (i.e., testdb) and table (retail_trans). Next, you will deploy Amazon OpenSearch Service and Amazon Kinesis Data Firehose. You will remotely access the Amazon OpenSearch Cluster using SSH tunnel.

Source Code: Build Data Analytics Pipeline Using Amazon DMS

39) Covid Tracking Pipeline 

This is one of the most common and interesting cloud project ideas in Github. 

Project Idea: For this cloud-based project, you will use the Covid tracking dataset from the Azure Open Datasets collection. You will learn how to use and easily customize this prepackaged ingestion template for data ingestion and transformation purposes. You will download and move the pipeline template to Blob Storage. After loading and debugging the pipeline, both (raw and curated) datasets will be created/copied to the destination path you specify on the Azure Data Lake Store account. Next, you will download and import the Synapse notebook from Azure Open Datasets into Azure Synapse. Add the creation of a Spark Database to the notebook and save the dataset as a table. Due to the shared metadata, you can access this Spark-created table using SQL On-demand.

Source Code: Covid Tracking Pipeline Using Azure

This cloud-based project aims to create a batch data pipeline that continually extracts, transforms, and loads data from NYC 311 Service Requests into a data warehouse while enabling you to visualize critical insights. This project is one of the best cloud computing projects in Python with source code in this blog, so do not skip it.

Project Idea: Use the 311 dataset from the NYC Open Data portal for this project. You will use the Python Pandas library to fetch data from the Socrata API, transform it into a dataframe with appropriate data types, and load it to BigQuery. You will use Terraform to easily manage infrastructure setup and changes and Docker to containerize the code. You will learn how to execute the Prefect flows in a serverless execution environment using Cloud Run Jobs. For this project, you will use Google BigQuery as the data warehouse and Google Looker Studio to build a dashboard. You will also use Prefect OSS and Prefect Cloud to orchestrate, monitor, and schedule the server deployment process.

Source Code: NYC Service Request Data Analysis Using GCP And Docker

Kickstart Your Cloud Computing Journey With Our Cloud Computing Projects PDF

It can be highly challenging for an individual to build all the projects mentioned above. The good news is that you don’t have to because, in cloud computing, one is expected to be a master of a few tools rather than a Jack of all. So, pick your niche and polish the skills you already have to master cloud computing, as Laura Hyatt, Senior Cloud Architect at Google , suggested in her LinkedIn post below.

Cloud computing has evolved as a crucial tool for professionals willing to advance their careers and stay ahead of the competition in the big data industry. With the increasing demand for cloud skills in the industry, gaining hands-on experience working on cloud projects is crucial to showcase your abilities and stand out. ProjectPro offers over 250 end-to-end solved data science and big data projects, including various cloud computing projects that allow you to work with popular cloud platforms like Azure, AWS, and GCP and gain practical knowledge of the latest big data tools and other technological advancements. By working on these projects from the ProjectPro repository , you can showcase your ability to design, develop, and deploy cloud-based systems to recruiters. If you are a big data professional aiming to improve your cloud skills, explore cloud computing projects by ProjectPro to gain valuable experience and enhance your career prospects. Start your journey toward becoming a cloud expert today!

1. How to develop cloud computing projects?

Below are the steps to develop cloud computing projects-

Define the project scope and requirements.

Choose a cloud computing platform, such as AWS or Azure, and select the required services.

Set up the necessary infrastructure and resources, including networking, storage, and virtual machines.

Build the application or solution using programming languages, frameworks, and tools.

Test the application or solution before deploying it to the cloud platform.

Cloud monitoring and management tools are used to track and improve the efficiency and cost of the application or solution.

Ensure data privacy, security, and compliance by following best practices and industry standards.

Consider user feedback and business requirements to enhance the application or solution continuously.

2. What are some common use cases for cloud computing in projects?

Some common use cases for cloud computing in projects include data management and storage, application development and deployment, disaster backup and recovery, virtual desktops and workspaces, artificial intelligence, and machine learning.

3. How do I choose the right cloud computing provider for my project?

You can choose the right cloud computing provider for your project by considering the project's requirements, budget, scalability needs, and support for the programming languages and frameworks you want to use. Additionally, consider the previous track records of several providers for reliability, pricing and payment options, security and compliance features, scalability, adaptability, and accessibility to the various tools and services you require for your project. 

4. What are the different types of cloud computing services available for projects?

The different cloud computing services available for projects include Software as a Service, Infrastructure as a Service, and Platform as a Service.

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Microsoft Cloud Computing Research Centre

Cloud computing technology law and policy, scroll down to learn more about the mccrc or follow the link below to see our research on blockchain, machine learning, iot, and more, the microsoft cloud computing research centre.

The Microsoft Cloud Computing Research Centre (MCCRC) is a virtual research centre in which technology lawyers and computer scientists collaborate to conduct cutting-edge research on challenges in cloud computing at the intersection of technology and regulation. The MCCRC was launched in April 2014. It is a collaboration between the Cloud Legal Project at the Centre for Commercial Law Studies, Queen Mary University of London (CLP) and the University of Cambridge Computer Laboratory (CCL). The MCCRC addresses complex and difficult areas of vital importance to governments, businesses, and communities around the globe. The Cloud Legal Project has been conducting pioneering research in the emerging field of cloud computing law since 2009. The Cambridge Computer Laboratory is a world class research centre working in key areas relevant to the development of cloud computing, including distributed systems, networking and security, associated with the Center for Science and Policy (CSaP), that provides the network and mechanisms for high-quality engagement between academics and policy professionals.

Christopher Millard

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Latest news, christopher millard gave a presentation on ‘compliance as a service’ at the denae / qmul conference on gdpr in a data driven economy, madrid, 29 october 2019.

For more information and for the programme, please see here.

Christopher Millard presented on ‘Playing in the Clouds: Technologies, Services, and Legal Implications’ at the More Than Just a Game Conference in Frankfurt, 17 October 2019

For more information on the Conference, please see here.

Christopher Millard co-chaired the IT Law Summer School 2019 at Downing College, Cambridge, and gave lectures on ‘Cloud Computing’, ‘GDPR’s Territorial Scope and the Roles of Controllers and Processors’, and ‘Regulating AI, the Internet of Things, and Robots’, 29 July – 2 August 2019

Christopher millard interviewed elizabeth denham, uk information commissioner, at the privacy laws & business 32nd annual conference, st john’s college, cambridge, 2 july 2019.

For the video of the interview, please see here.

Christopher Millard gave a presentation on ‘Compliance as a Service: How Cloud Service Providers are Positioning Themselves’ at the Privacy Laws & Business 32nd Annual Conference, St John’s College, Cambridge, 1 July 2019

For more information, please see here.

Christopher Millard delivered the Joseph Kohler Lecture on ‘Regulation of AI, Robots, and the Internet of Things’ at the Faculty of Law, Humbolt University, Berlin, 11 June 2019

For more information, please see here

Chris Reed spoke on ‘How to regulate (and not regulate) AI’ at a CIFAR-UKRI-CNRS workshop on ‘AI & Society: From principles to practice’ held at the Alan Turing Institute, London, 3-4 June 2019

Chris reed presented on data trusts at the royal society of arts on 15 april 2019.

Chris spoke about his work on an interdisciplinary research project with the Open Data Institute. To find out more about the Data Trusts research project, check out: https://theodi.org/article/data-trusts-legal-report/.

Lauren Downes and Chris Reed presented on Sustainability in the global energy value chain at Norton Rose Fulbright on 14 March 2019

Lauren and Chris discussed “Sustainability in the global energy value chain: a blockchain opportunity (T=E+D+A)” .

Christopher Millard featured as a guest on the Privacy Sigma Riders podcast to talk about the GDPR on 5 March 2019

Christopher and host Michelle Dennedy, chief privacy officer at Cisco, covered a range of topics, including trusting robots, the ethics of privacy, and the practical challenges of implementing the GDPR. You can listen to the podcast on iTunes, or read the transcript.

Cloud Computing Projects

NevonProjects brings you the widest variety of cloud computing based projects for engineering students, researchers and engineers. Get cloud based project topics and ideas for study and research. Our list of projects on cloud computing is updated every month to add the latest cloud based project ideas and topics as per latest technologies. From Microsoft Azure, to Amazon EC2 we have cloud projects for all kinds of cloud based systems. Get cloud security projects, cloud optimization systems as well as other cloud based projects for various domains. Keep visiting this page for updated list of projects that make use of cloud computing to deliver various functionalities.

• eBug Tracker – Bug Tracking System Project
• Android Offloading Computation Over Cloud
• Secure Text Transfer Using Diffie Hellman Key Exchange Based on Cloud
• University Campus Online Automation Using Cloud Computing
• Intelligent rule-based phishing websites classification Based on URL Features
• Customized AES using Pad and Chaff Technique And Diffie Hellman Key Exchange
• Detecting Data Leaks via Sql Injection Prevention on an E-Commerce
• Cloud Based Attendance System
• Cloud Based Improved File Handling and Duplication Removal Using MD5
• Cloud Based Student Information Chatbot Project
• Secure File Storage On Cloud Using Hybrid Cryptography
• Online Bookstore System On Cloud Infrastructure
• Cloud Based Online Blood Bank System
• Cloud Based Local Train Ticketing System
• Cloud Based Bus Pass System
• E-Learning Platform using Cloud Computing
• Storage and Energy Efficient Cloud Computing Project
• Cloud computing for Rural banking
• Data Duplication Removal Using File Checksum

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10 Best Cloud Computing Project Ideas

Cloud Computing is responding well to the changing needs of the current times. Those needs are either be of businesses or educational institutions like colleges, schools which have to be fulfilled with cost-effective and scalable solutions. And to learn how one can implement such solutions well, it is necessary to know how the notions of cloud computing can be mapped with real-time problems. Imagining if such problems could be considered as challenges and accepted in the form of project ideas! Yes, they could be the project ideas confined to the algorithms of Natural Language Processing or Artificial Intelligence responding well to the queries of customers or rural people. 

Let’s take a look at a few cloud computing project ideas you must explore well for better personal learning about the computational power of cloud technology.

1. Smart Traffic Management (STM)

STM means Smart Traffic Management. This project uses cloud computing power to reduce the waiting time request of your vehicle at peak traffic hours primarily. Such management will be depicted by an application that can potentially simulate the movement of vehicles like cars, scooters, and three-wheelers after analyzing real-time traffic. For beginners afraid of applying traffic management techniques to real-life problems, this project will help them strengthen their decision-making process. This is because they will be deriving the shortest path and time for a vehicle so that it may not get trapped by traffic congestion. Still thinking about how this project will predict the shortest path and minimum time for a vehicle! Through three-layered networks of a wireless sensor, vehicle routing, and updated coordinates of a vehicle’s source and destination, vehicles moving in modern cities can be tracked and monitored well. Later, video processing algorithms will measure the intensity of traffic influencing events like fluctuations in weather conditions, driving zones, and other special events. At last, traffic data will be extracted and analyzed for improving the overall efficiency of a vehicle to reach the destination, by picking up the available shortest path, in minimum time.

2. Chatbots

Chatbots are Artificially-Intelligent Softwares showing responsiveness towards the existing queries. Those queries may either be of a student or an employee, depending upon the requirements in real-times. But this project will promisingly let the beginners prepare a software whose database is cloud-based and let a student get responses for the queries he/she may enter. Are you curious to know how this project will be identifying the answers? With NLP i.e Natural Language Processing and ML i.e Machine Learning algorithms, a list of appropriate responses will be entered in those chatbots which will answer the questions (these are the input patterns) of a student in a goal-oriented manner. This is one of the reasons why the project is popular and preferred by many cloud-computing aspirants. Besides, the thing which can’t be avoided in this project is connectivity with a website you are using. After the website is linked with the chatbot, you will be able to analyze how many users have started talking with the chatbot and to what extent the project is accurately and precisely answering to the variety of visitors always waiting for someone to help them fulfill their requirements.        

3. Bug Tracker

Bug Tracker isn’t only simple but effective to use for identifying and killing a variety of bugs. Those bugs may occur due to errors in communication, syntax, calculations, or commands. Thinking how such bugs may be identified in a shorter span! For doing the same, a person using this tracker (who may either be an administrator, staff member, or some customer) will determine the type and source of the bug just by logging in to this application via a valid username and strong password. Then, the person may review the details regarding the bug like the date of bug creation, the time for which the bug lasted in the system, and so on. In case the bug isn’t related directly or indirectly to the administrator, he/she may transfer its details to a staff member or vice versa. If required, the bug details may also be sent to the customers if the same (i.e. bug) is troubling them. The benefit will be that the customers not able to find solutions for that bug will directly by contacting the administrator for the much-required solutions. In this manner, the customers need not waste their time analyzing the searches and labels of this Bug Tracker as the administrator has provided the solutions that can detect and eliminate a bug in a shorter span. 

4. Detecting Data Leaks Using SQL

Data Leaks have become common in this pandemic era and their consequences are hazardous to innocent users. This is because they may occur in a known or unknown manner since it has many types. Either your password gets stolen when any of your friends get successful in remembering the keystrokes or some ransomware starts taking charge of your system as well as mind, all these are a variety of data leaks. In this project, a system will be prepared through cloud technology whose security will be AESX Encryption based. Are you thinking about how this will prevent the existing security vulnerabilities (like an SQL Injection)? For doing the same successfully, the software detecting the data leaks will do the content inspection and contextual analysis both. Through them, the users (which may either be an assaulter) will be categorized in accordance with the messages or activities they are performing over the internet. Later, if the messages sent by a user are inviting security vulnerabilities in a knowing or unknowing manner, such messages and the users are identified and the software (packed with DLP i.e. Data Loss Prevention solutions) will intelligently restrict those users or take some strict actions against them for preventing such losses in terms of money or mental health. On an overall basis, this project will ideally ensure the privacy and security of your information stored on the e-commerce platforms at which you may log in daily or frequently.     

5. Android Offloading

Android Offloading would be a direct approach to facilitate easy offloading. Now you may ask what the offloading is? Offloading is a combination of Off + Loading which means switching off or reducing the load. That load may either be on an operating system like Android or Windows, depending upon the complexity of the environment. In this project, students will be proposing an offloading framework that uses cloud-based servers. Such servers will be reducing a load of Android by letting the users shift the heavy workload applications onto those virtual servers consisting of benefits of cloud storage. With this, various processes running in the foreground or background of your Android phones may now execute other important tasks as space is now made available for them. Here, users may select a process or the associated file to conveniently record the timestamp analysis. Such analysis will determine for how long the existing applications are using Android resources and computing power and what are the non-interacting components of the existing applications? With this, those non-interactive portions and space-occupying tasks are shifted towards the cloud-based servers thereby empowering the smartphones to exhibit robotic offload in real-times. This would be an ideal choice for beginners as such a project will be helping the companies determine if their existing systems are capable of extracting profit margins or not within the existing market circumstances!

6. Blood Banking Via Cloud Computing

Blood Banking is a process that utilizes well, the existing scientific methods, for facilitating the transfusion of blood. Depending upon the blood type and availability of donors in that particular area, this project can cater to such parameters well through a central database strengthened with the computing power of scalable and efficient cloud storage. You may think about how the doctors and other professional medical experts will identify which donor is the best! The answer is the previous track records. This online cloud-based Blood Banking system will highlight the key contributions of the donors in previous months or years and determine the quality of results produced by his/her blood. With this, doctors and other practitioners are now assured with the ease of access to blood (either A+, B+, AB+, or O-)  during an emergency period. Also, this will be helping the beginners understand the importance of blood banks and what are the consequences patients need to face when the blood which could be transfused to their veins isn’t provided at their booked slots.

7. Attendance Tracker

Attendance Tracker could be an award-winning project for college students or beginners in the field of cloud computing. This is because such a tracker will help investigate anomalies in the current attendance records. With this tracker, students may hypnotize their teachers or experienced authorities of management because the tracker has so much potential that it can identify which students are irregular to their classes and not ready to establish connectivity with the actual concepts of their curriculum’s subjects. The tracker works fine with Azure cloud that manages the analytics and networking of cloud-oriented applications well. As soon as you enter a student’s Enrollment Number or Name, details like availability in classes, number of lectures attended will be displayed and no proxies are possible since the tracker is supported by Azure cloud capabilities. Even the security offered is so robust and powerful that those naughty students who always fool their deans are caught in a shorter span – just after the admin enters login details into this tracker. All this will improve accuracy and transparency in any of the educational institutions as students and their parents are pre-informed about the real-time status of leave requests and absenteeism in a confidential manner and at reduced costs. 

8. Rural Banking

This project supports the service of rural banking for smaller rural communities constantly looking for robust and strengthened deposit mobilization mechanisms. The reason is obvious – the collection of cash or other funds during emergency situations. Thinking about how this will boost up the overall rural development! With this rural banking system, villagers may effectively engage themselves with online banking activities and understand the importance of online transactions promisingly using cloud servers. The prime benefit is that students will show their active participation in enlightening the rural people about the benefits of transfer and withdrawal of cash deposited in their registered bank accounts. Indeed, these project ideas boost the demands of banking institutions up in rural areas because the villagers are now confident about the one-touch online transactions they can do with this rural banking system and keep themselves away from poverty and unemployment.    

9. Text CAT.

Text CAT. (Categorization) is an ideal project choice for beginners especially students interested to learn the real-time implications of business analytics. Thinking about how this project is adaptive towards the welfare of a company! With NLP algorithms and flexible work practices of Business Analytics, the company’s data may be classified and categorized as organized sets for better decision-making. Those sets provide conceptual views of the company’s content/ information thereby ensuring efficiency and scalability in the business processes. Also, this will be helping the company experts access better data quality since operational efficiency will now be not compromised with the changing market trends. Besides, with the valuable analysis of this project somewhere dependent on the potential of cloud servers, customer satisfaction can be achieved accurately and precisely as the features of this project track and monitor the key performance indicators quickly and sincerely.  

10. ENC. Cloud Storage

ENC. i.e. Encrypted Cloud Storage project is a thoroughly encrypted and adaptive model for analyzing variability in business atmospheres. All that data synchronized at cloud servers is stored in encrypted files consisting of cipher codes. Thinking how such cipher codes will be decrypted in a language easily understood by the employees and seniors? Here, the project uses a number system and its types which not only process but store the data files securely and with utmost encrypted-ness. The benefit of doing such a project is that students will be able to visualize the convenient ways of sharing the files in different formats and how the cloud storage enhances automation and synchronization through its disaster recovery or backup plans? Besides, the synchronization feature available in this project lets the users access their files from the connected cloud storage (from any part of the world) without any hustles of copy and paste.   

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Title: towards a novel privacy-preserving distributed multiparty data outsourcing scheme for cloud computing with quantum key distribution.

Abstract: The intersection of cloud computing, blockchain technology, and the impending era of quantum computing presents a critical juncture for data security. This research addresses the escalating vulnerabilities by proposing a comprehensive framework that integrates Quantum Key Distribution (QKD), CRYSTALS Kyber, and Zero-Knowledge Proofs (ZKPs) for securing data in cloud-based blockchain systems. The primary objective is to fortify data against quantum threats through the implementation of QKD, a quantum-safe cryptographic protocol. We leverage the lattice-based cryptographic mechanism, CRYSTALS Kyber, known for its resilience against quantum attacks. Additionally, ZKPs are introduced to enhance data privacy and verification processes within the cloud and blockchain environment. A significant focus of this research is the performance evaluation of the proposed framework. Rigorous analyses encompass encryption and decryption processes, quantum key generation rates, and overall system efficiency. Practical implications are scrutinized, considering factors such as file size, response time, and computational overhead. The evaluation sheds light on the framework's viability in real-world cloud environments, emphasizing its efficiency in mitigating quantum threats. The findings contribute a robust quantum-safe and ZKP-integrated security framework tailored for cloud-based blockchain storage. By addressing critical gaps in theoretical advancements, this research offers practical insights for organizations seeking to secure their data against quantum threats. The framework's efficiency and scalability underscore its practical feasibility, serving as a guide for implementing enhanced data security in the evolving landscape of quantum computing and blockchain integration within cloud environments.

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New Distributed Cloud- And Network Architecture for True 3D Holography

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 1138))

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The current 6G NeXt research project [ 1 ] is exploring the feasibility of using true 3D holography as a case study, establishing criteria for both communication and computing infrastructure. In a future holographic communication service, clients are dispersed throughout the network and engage in collaborative interactions.

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The current 6G NeXt research project [ 1 ] is exploring the feasibility of using true 3D holography as a case study, establishing criteria for both communication and computing infrastructure. In a future holographic communication service, clients are dispersed throughout the network and engage in collaborative interactions. Holographic communication demands significant processing power, necessitating the inevitability of a high-speed distributed backbone computing infrastructure that embodies the concept of split computing. Moreover, seamless integration between processing facilities and wireless networks is imperative to deliver an immersive user experience [ 2 ].

This presentation is going to delineate the realm of true 3D holographic communication and its prerequisites. It introduces concepts of distributing computing tasks in a new way across conventional computing infrastructure and outlines a suitable solution approach, presenting innovative technological strategies based on a proposed comprehensive communication and computing architecture. True holography, as an exceptionally demanding example of future XR applications, highlights the necessity and challenges for telecommunication providers in designing new networks in conjunction with cloud infrastructure. Future generations of networks will bring us closer to the true convergence of connectivity and computing [ 3 ].

6gnext project homepage. https://6gnext.de/

Future network requirements for extended reality applications. Ericcson, Technical report 4 (2023). https://www.ericsson.com/en/reports-and-papers/ericsson-technology-review/articles/future-network-requirements-for-xr-apps

The next hyperconnected experience for all. Samsung Research, Technical report (2022). https://cdn.codeground.org/nsr/downloads/researchareas/6G

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Friese, I. (2024). New Distributed Cloud- And Network Architecture for True 3D Holography. In: Köhler-Bußmeier, M., Renz, W., Sudeikat, J. (eds) Intelligent Distributed Computing XVI. IDC 2023. Studies in Computational Intelligence, vol 1138. Springer, Cham. https://doi.org/10.1007/978-3-031-60023-4_1

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Cloud Computing Research Projects is a  federated company  that will bring a  weighty solution  for each project. We will also share  all aspects  of the  cloud field . Now,  Industrial IoT  and also a  blockchain  play a major part in the Cloud. It’s the most recent cloud computing area as soon as we reach our success point that is five thousand project completion.

Ideas in IoT + IIoT + Blockchain + Cloud

• Authentication and access management
• Smart home applications
• Smart industry applications
• Data Confidentiality Improvement
• Hashing Algorithms for Data Integrity
• Lightweight Security – Less Resource Constrained

Currently, PhD students will think that  every part of the research program  is difficult to handle. But in our dictionary, the  answer  is  ‘No.’  Since it is a common problem for all PhD scholars, we will also deal with the PhD student’s stress and advise them to get their doctorate degree. While executing our services for PhD students, students get the benefit too, as our expert’s team is behind in  every effective PhD cloud computing research projects .

What we will share about the cloud?

• Most recent inventions
• Up-to-date trends and techniques
• Concerns about the cloud
• Practical challenges faced
• Solutions adopted for challenges
• Cloud computing tools

Application Domains – CLOUD COMPUTING RESEARCH PROJECTS

• Cloud of Things
• Ad Hoc Cloud Computing
• Software Defined Network
• Big Data Cloud Computing
• Fog (or) Edge Computing
• Hadoop and Spark MapReduce
• Serverless Computing
• Robot as a Service
• Service Oriented Architecture
• Ubiquitous Computing
• Web Computing
• Software Testing/Engineering
• Satellite / Remote Sensing
• Single Chip Cloud Computer
• Software Defined Data Center
• Vehicular Technology
• Biometrics and also Photonics

List of Cloud Computing Research Projects

• Overlapping Clusters Finding by also in Multi-Label Classification
• Regional Center Creation by Cloud Shared Access
• Device Clustering in Cloud-IoT to Prolong Lifetime
• Execution Trace Streaming by Dynamic Metrics
• Resource Allocation by Game Theory in the Cloud
• Re-Encryption Conditional Proxy Approach also in the Cloud
• Cloud RAN – Optical OFDM Flexible Grid
• Reliability, Security and also Privacy in the Cloud

Any cloud computing research projects will put into practice over a short span of time. On behalf of high quality, we will provide a great venue for students and scholars. We want to say thank you for viewing our talk, and you are also a great customer for us. If you have any questions, yes, you can ask now?

Related Pages

Cloud Computing Projects

Cloud Security Projects

Cloud Computing Topics

Cloud Computing Thesis Topics

Cloud Computing Research Topics

Master Thesis On Cloud Computing

Cloud Computing Security Thesis

Projects On Cloud Computing

Cloud Computing Thesis Proposal

Cloud Computing Research Paper Topics

Projects Based On Cloud Computing

Load Balancing In Cloud Computing Thesis

Phd Thesis In Cloud Computing Security

Load Balancing In Cloud Computing Phd Thesis

Cloud Computing Application Projects

Key Services

• Literature Survey
• Research Proposal
• System Development
• AWS Integration
• Algorithm Writing
• Paper Writing
• Conference Paper
• Thesis Writing
• Dissertation Writing
• Assignments

Testimonials

I really appreciate your project development team. Since, your source codes are very easy to understand and execute it. Thank you!

You’re amazing and great working with you! I am totally satisfied with your paper writing. Keep up the best service for scholars!

Thank you so much for my project support and you guys are well done in project explanation. I get a clear vision about it.

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French research institutes pool computing resources to save money and emissions

Since 2017, CentraleSupélec, ENS Paris-Saclay and Paris-Saclay University have pooled their efforts to buy and host scientific computational resources at the CNRS's Institute for Development and Resources in Intensive Scientific Computing (Idris). The twin aim is to reduce the environmental footprint and financial costs of data centres and also to foster synergies between laboratories.

The  digital economy's impact on the environment  never stops growing, currently accounting for 6% to 10% of the world's electricity consumption, nearly 4% of our greenhouse gas emissions with an annual increase of between 5 and 7%. Data centres play a central role in storing the billions of data produced per second and consume a large proportion of  the  sector's energy .

The scientific demand for computer calculation resources is ever multiplying. This is one of the reasons research stakeholders on the Saclay plateau implemented a practical solution ten years ago to limit their operating budgets and the  environmental impact of their machines . These machines are pooled and managed by CNRS's Institute for Development and Resources in Intensive Scientific Computing (Idris).

An alliance of three partners

A combination of events started the ball rolling in the early 2010s on this plateau in the south-west of the Île-de-France region. The Mechanics and Technology Laboratory (LMT) 1  in Cachan and the Mechanics of Soils, Structures and Materials Laboratory (MSSMat) 2  in Châtenay-Malabry used to work jointly on mesocentres 3  installed on their premises and connected by a high-speed network. The two laboratories decided to purchase a new machine together in the framework of their upcoming merger which led to the creation of the Paris-Saclay Mechanics Laboratory (LMPS) 4  and to the ENS's move to Saclay. Meanwhile in nearby Châtenay-Malabry, two École Centrale Paris laboratories, the MSSMat and the Macroscopic Molecular Energy and Combustion Laboratory (EM2C) were thinking about purchasing their first scientific computational machine when the merger of Centrale Paris and Supélec took place. The combined influence of the LMT, the MSSMat and the LMPS led to CentraleSupélec and ENS Paris-Saclay – which had become neighbours – jointly applying for and being granted funding for computing resources in the framework of the 2015-2020 State-Region Plan Contract. This was used to purchase Fusion, the two institutions' first joint computing machine. Rather than building a dedicated room to host it in Châtenay-Malabry, the two institutions turned to the CNRS through the Idris which the IT community already knew very well.

Denis Girou was the director of the Idris at the time and fondly remembers the institutional excitement about this kind of project in 2013 when it was presented. "There was an extremely favourable national context for this kind of partnership because the Ministry had decided to curb the anarchic multiplication of computer rooms in higher education and research. Most of these were in poor technical condition so the Ministry chose to push pooling operations very strongly". At the same time the CNRS's management board was urging CNRS units to ''integrate the regional ecosystem and in this case  Paris-Saclay University which is currently being created ". And so, after four years of tripartite negotiations, an agreement was signed in early 2017 by the three institutions which led to the official inauguration of Fusion on February 23rd of the same year. A new, more powerful machine called Ruche that was also supported by the Region was to replace Fusion four years later. In the meantime, the shared Fusion/Ruche platform which the Saclay AI and Cloud@VirtualData platforms were added to what became the Paris-Saclay mesocentre at the university of the same name.

Pooling resources rapidly proved to bring economic and energy benefits. The Idris is reputed for its eco-responsibility as was recently illustrated by the project to  recycle waste heat from its Jean Zay supercomputer  to heat the equivalent of a thousand new homes. The current director Pierre-François Lavallée is clearly proud of the room's "Power Usage Effectiveness 5  of 1.28 compared to other laboratory machine rooms' figures of 1.8 or even 2". In practice, "if this equipment were located anywhere else than at the Idris, its electricity consumption would go up by 40 %". Hosting Fusion and then Ruche at the Idris quickly reduced the associated laboratories' budgets with LMPS alone estimated to have "divided the cost of hosting by three" as its director Pierre-Alain Boucard points out. This professor at ENS Paris-Saclay is also the mesocentre's scientific director for the ENS and declares himself impressed by the system's "intelligent energy management", particularly the job manager automatically switching off unused resources until computation requests are made and they are reactivated. This came in particularly useful when electricity prices soared in winter 2022. Above all, the use of the shared platform by laboratories is optimised which is essential given the environmental cost of manufacturing the resources which amounts to three quarters of its carbon footprint. Similar sorts of machines in laboratories are often underused but Ruche has a load rate of 60 to 70 % of its capacity. 

"A mesocentre isn't just the hardware"

Beyond the economies of scale that have been achieved, pooling computing machines at the Idris has benefited the scientific communities themselves, first and foremost through the positive impact on working conditions. The Idris's effective control of energy consumption is partly due to the robustness of its electrical infrastructure. Its two power lines, inverters, batteries and generator help prevent power cuts while cold water canisters are available for use so equipment can be stopped as effectively as possible if an incident does occur. Pierre-François Lavallée is delighted that his unit can "pass on the very high resilience level of the national centre to all our partners". This resilience is both material and human as Anne-Sophie Mouronval is very well aware. This research engineer has worked within the structure for twenty years, first at the MSSMat and then at the LMPS. She was present for all the mergers and pooling processes within the laboratory and now devotes a third of her working time on technical support for Ruche users, whatever institution they are affiliated to. She works on this support function along with eight other engineers from ENS Paris-Saclay, CentraleSupélec, Paris-Saclay University and the Maison de la Simulation. The latter joint laboratory's own computer was already hosted by the Idris. When it came to the end of its useful life the Maison's management preferred to contribute to the extension of Ruche rather than building its own new machine. As well as the Idris's "optimal environment for computing resources" the number and diversity of its engineers' profiles are also impressive. "The wealth of skills in the support team is a real strong point for our pooling system. The team is capable of helping users with simulations that use artificial intelligence and also with high-performance computing (HPC) 6  ".

This diversity of profiles testifies to the synergies created between a myriad of laboratories thanks to pooling. Some laboratories were more used to scientific computing, having been immersed in it since Fusion's early days, but other smaller laboratories that were less accustomed to working in this way for research purposes (certain humanities and social sciences units, for example) ended up joining the mesocentre. After just over ten years of existence Pierre-Alain Boucard admires the centre's "diversity of uses and scientific cultures which encourages us to exchange ideas to help mentalities and practices evolve and to keep calculations running to ensure the most effective use of the machine". Thomas Schmitt, a CNRS researcher working at the EM2C and CentraleSupélec's scientific manager for the mesocentre considers that "a mesocentre is not just the hardware. It also involves bringing people, knowledge and skills together which isn't possible when you're on your own". The mesocentre's versatility and flexibility for users have helped established its intermediary positions between laboratories and national supercomputers like  Jean Zay  or even European supercomputers. CentraleSupélec's scientific manager actually explains that the mesocentre can serve as a 'gateway' or even a 'springboard' towards such supercomputers.

"Advancing together to advance further"

Nearly ten years after Fusion's birth what then is the future for pooling computational resources on the Saclay plateau? In the short term, the mesocentre is planning to pool its massive data storage systems but Thomas Schmitt remains cautious as regards future developments: " We're not aiming to grow at all costs, we'd like to maintain a complete global system capable of responding to several demands at the same time". Although the Idris mesocentre will soon be reaching the limit of the centre's technical infrastructure for power supply and air conditioning to accommodate new machines, a major project to upgrade these technical infrastructures began in 2022 and should be completed by mid-2026. Pierre-François Lavallée considers the experience of pooling resources to have been so successful that he aims to take it further. His idea is to "develop another national mission alongside our national supercomputer work – hosting machines or services for the entire higher education and research sector". Until now the mesocentre has been of secondary importance behind Jean Zay. However this new mission is in the process of being officialised with the Idris planning the short-term purchase of a physical structure or 'cube' to provide effective and scalable hosting for computing and storage cabinets for user laboratories.

Whatever direction pooling computing equipment in the south of the Île-de-France region takes, Thomas Schmitt remains ever-enthusiastic "because advancing together means we'll be able to advance further".

This article was first published on July 22 by CNRS.

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