Cloud Computing Projects List

Ranging from diverse levels of challenges and encompassing a broad spectrum of cloud-oriented topics, we propose an extensive list of cloud computing project concepts which are capable for conducting impactful research:

Basic Projects

  1. Personal Website Hosting
  • Implement CloudFront and AWS S3 to introduce a personal website.
  • Route S3 is deployed to execute domain management.
  1. Basic Cloud Storage Application
  • To access users to store, recover and upload files, use AWS S3 to create a basic application.
  • With the use of AWS Cognito, execute simple authorization.
  1. Static Website on Google Cloud Storage
  • Apply Google Cloud Storage to host an immobile website.
  • For rapid content delivery, acquire the benefit of Google Cloud CDN.
  1. Implementing a Web Application on Heroku
  • On Heroku, implement a simple web application like a to-do list app.
  • As offered by Heroku, connect to a PostgreSQL database.

Intermediate Projects

  1. Serverless Blog Environment
  • A blog platform should be modeled by using S3, AWS Lambda, Dynamo DB and API Gateway.
  • Use AWS Cognito to execute user access.
  1. IoT Data Collector
  • Acquire the benefit of AWS IoT core to create an IoT data collection.
  • Employ QuickSight and AWS DynamoDB to accumulate and evaluate the data.
  1. Cloud-based Chat Application
  • Implement AppSync, DynamoDB and AWS Amplify to develop a real-time chat application.
  • With the use of AWS SNS, execute push messages.
  1. E-commerce Website with Auto-scaling
  • Deploy RDS, Elastic Load Balancer and AWS EC2 to implement e-commerce websites.
  • Manage traffic loads by executing auto-scaling methods.
  1. Continuous Integration/Continuous Deployment (CI/CD) Pipeline
  • Take advantage of CodeDeploy, AWS CodePipeline and CodeBuild to configure CI/CD pipeline.
  • The implementation of web applications should be automated.

Latest Projects

  1. Big Data Analytics Environment
  • By implementing Athena, S3 and AWS EMR, a big data analytics environment should be developed.
  • Use AWS QuickSight to carry out data analysis.
  1. Hybrid Cloud Disaster Recovery
  • Deploy AWS to develop on-site configurations and execute disaster recovery findings.
  • For data synchronization, make use of RDS and AWS Storage Gateway.
  1. Machine Learning Model Implementation
  • With the use of AWS SageMaker, create and implement a machine learning framework.
  • Specifically for model interpretation, use API Gateway and AWS Lambda to design an API.
  1. Multi-Region Application Implementation
  • Regarding high accessibility among diverse AWS areas, make use of web applications.
  • Route 53 must be deployed for failover routing and DNS management.
  1. Blockchain on AWS
  • Apply Amazon Managed Blockchain to configure a blockchain network.
  • Communicate with the blockchain network by creating a DApp (Decentralized Application).
  1. Serverless Microservices Architecture
  • DynamoDB, AWS Lambda and API Gateway are effectively implemented for modeling a microservices-based application.
  • Utilize SQS or SNS to execute communication among microservices.

Specific Projects

  1. AI-Powered Chatbot
  • For natural language interpretation, use AWS Lex to model a chatbot.
  • Considering the state management, synthesize with DynamoDB and AWS Lambda for backend processing.
  1. Edge Computing Findings
  • Use AWS Greengrass to execute an edge computing solution.
  • On IoT devices, gather and evaluate data regionally and then synchronize with the cloud.
  1. Healthcare Management System
  • As regards secure patient data storage, a healthcare management system must be developed.
  • Particularly for document storage, utilize S3 and deploy AWS RDS for database management.
  1. Real-time Data Processing Pipeline
  • Employ AWS Kinesis, S3 and Lambda to configure an actual-time data processing pipeline.
  • Make use of AWS QuickSight to execute real-time analytics and dashboards.
  1. Gaming Server Hosting
  • By implementing AWS GameLift, develop an adaptable gaming server.
  • Player session management and matchmaking required to be executed.

Research-Based Projects

  1. Quantum Computing in the Cloud
  • Conduct research on quantum computing with Amazon Braket.
  • Quantum techniques need to be created and examined as well as their performance must be evaluated.
  1. Serverless AI Workflows
  • For model training, inference and data preprocessing, use SageMaker, AWS Lambda and S3 to design a serverless AI workflow.
  1. Cloud Security Automation
  • With the use of Guard Duty, AWS Config and Cloud Trail, generate an automated security tracking system and verify the adherence.
  1. Cost Optimization in Cloud Computing
  • To track and reduce the costs of cloud resources, utilize Cost Explorer and AWS Budgets to execute a system.
  • Generate the cost-efficient techniques by designing custom programs.
  1. Smart City Infrastructure Management
  • Employ DynamoDB, AWS IoT and Lambda to model and execute a smart city infrastructure management system.
  • In order to track public security systems, traffic and service programs, incorporate specific characteristics.

What are the Research challenges in cloud computing?

There are several research problems that have evolved in the domain of cloud computing, as it develops often with fresh theories and techniques. On the subject of cloud computing, we provide few significant research problems:

  1. Security and Privacy
  • Data Security: Throughout the process of storage, processing and transit, assuring the data security is very crucial. It is required to improve methods like access control, intrusion detection and encryption.
  • Privacy Considerations: It is difficult to facilitate data analytics and other functions on the cloud in addition to securing user secrecy. Considering privacy-preserving methods like differential privacy, sufficient research is required.
  • Multi-Tenancy Vulnerabilities: To secure illicit access and data breaches; separate the tenants in a multi-tenant platform.
  1. Performance Enhancement
  • Resource Management: While reducing the expenses, address the performance needs by handling and assigning resources such as storage, CPU and memory.
  • Adaptability: In higher workloads, focus on assuring that the services and applications have the capability to adapt in an appropriate manner.
  • Latency Reduction: Specifically those need minimal-latency responses and edge computing, latency should be reduced for real-time systems.
  1. Compatibility and Flexibility
  • Vendor Lock-In: Across various clouds, it is significant to facilitate effortless migration and decrease the reliance on a single cloud provider.
  • Standardization: Among various cloud environments, assure compatibility in a crucial manner by designing and implementing principles for cloud services.
  1. Cost Management
  • Anticipation of Cost: Specifically in effective and adaptable platforms, forecasting the exact costs related to cloud functions and services is a main concern.
  • Cost Optimization: Considering the cost and functionalities, detecting the proper balance could be complex. To reduce cloud expenses, create effective tactics.
  1. Integrity and Accessibility
  • Fault Tolerance: In spite of hardware or software breakdowns, it is very essential to assure applications, if it remains accessible and applicable.
  • Disaster Recovery: From data loss and interruptions, bounce back soon by creating effective disaster recovery plans and technologies.
  • High Accessibility: Based on breakdown conditions or maximum demands, offer dynamic accessibility through modeling applications.
  1. Data Management
  • Data Consistency: Especially in practical applications, data consistency must be verified among distributed platforms.
  • Big Data Processing: Huge amounts of data need to be handled and evaluated effectively. Data reliability and its stability should be assured.
  • Data Lifecycle Management: Encompassing the data maintenance, recording and deletion tactics, productive tactics ought to be created for dynamic data lifecycle management.
  1. Energy Efficiency
  • Green Computing: Reduce the ecological implications by decreasing the energy usage of cloud models and data centers.
  • Energy-Aware Scheduling: Resource management algorithms and energy-effective scheduling techniques required to be designed.
  1. Network Management
  • Bandwidth Optimization: To manage huge volumes of data transfer, handle and enhance network bandwidth dynamically.
  • Network Latency: Particularly for systems which need minimal latency communication and real-time data processing, network latency must be decreased.
  1. Adherence and Legal Problems
  • Regulatory Compliance: Considering the various administrations, it is important to assure adherence with diverse regulatory measures and ethics like CCPA, HIPAA and GDPR.
  • Data Integrity: Problems based on data sovereignty have to be solved. Within the certain spatial constraints, those data should be positioned.
  1. Evolving Technologies Integration
  • IoT and Edge Computing: At the edge, it is very significant to synthesize IoT devices and cloud services as well as handle the data and computational demands.
  • Artificial Intelligence and Machine Learning: For the purpose of managing the problems related to computational capability, model development and data handling, make use of cloud models specifically for AI/ML model training and implementation.
  • Quantum Computing: The synthesization of quantum computing with cloud functions has to be investigated. Issues which involve application enhancement, security and quantum resource management must be managed.
  1. User Experience and Implementation
  • Usability: Assure productive consumption and easy application through enhancing the user experiences for cloud services.
  • Training and Support: In order to assist users efficiently in solving their issues and application of cloud services, it is required to offer sufficient training and assistance.
  1. Ethical Concerns
  • Ethical AI: To assure integrity and prohibit impartialities, it is crucial to verify the AI applications whether it is implemented in the cloud are designed and utilized in an ethical manner.
  • Surveillance Problems: In accordance with tracking and data monitoring, the ethical problems must be managed by cloud service providers.

Cloud Computing Projects Topics

Cloud Computing Thesis List

 Obtain the most up-to-date Cloud Computing Thesis List curated by our team of expert cloud engineers by reaching out to for top-notch support. Share all the necessary information with us, or opt for personalized assistance as we serve as the ultimate destination for all your requirements.

  1. Analysis on the Function of Database Construction of Economic Management Specialty Based on Cloud Computing
  2. Research on Web Data Mining Strategy Based on Cloud Computing
  3. Taxonomy & Analysis of Cloud Computing Vulnerabilities through Attack Vector, CVSS and Complexity Parameter
  4. Flexible and Secure Based Access Control Using Homomorphic Authenticator in Cloud Computing
  5. An Efficient SFLA and CUCKOO Search Hybridization for Source Distribution in Cloud Computing
  6. Handwriting Character Recognition as a Service: A New Handwriting Recognition System Based on Cloud Computing
  7. Federated policy management engine for reliable cloud computing
  8. Multi-objective virtual machine placement optimization for cloud computing
  9. An Encryption based Security Enhancer Tool for IaaS Applications in Cloud Computing
  10. A Novel Substitution Judgment Method for Mobile Cloud Computing Application System Components
  11. GLC cloud computing method and simulations of GLHUA outer layer cloak
  12. Research on service trust evaluation approach under cloud computing environment
  13. Effective usage of online cloud computing in different scenario of education sector
  14. A QoS-aware task allocation model for mobile cloud computing
  15. Mutual entity authentication protocol for mobile cloud computing
  16. Research on cloud computing for disaster monitoring using massive remote sensing data
  17. Anonymous Password Authentication Scheme by Using Digital Signature and Fingerprint in Cloud Computing
  18. A retrievable data perturbation method used in privacy-preserving in cloud computing
  19. Energy-efficient task offloading for multiuser mobile cloud computing
  20. Design on Enterprise Knowledge Supply Chain Based on Cloud Computing
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