Master Thesis Cloud Computing

Perusing a master thesis cloud computing is never an easy task…. many scholars find hard to get the perfect topic with right keyword in it. We at take honor in assisting for scholars with high quality thesis ideas and topics that suits your interest. Cloud Computing encompasses a broad scope for impactful investigation and provides beneficial insights on promising areas. Regarding the different sub-domains of cloud computing, some instances of problem statements along with proposed solutions is provided by us:

  1. Problem Statement: Resource Allocation in Multi-Cloud Environments
  • Problem Description:

In the case of various pricing models which are provided by cloud service providers, diverse performance features and variability of resources, dynamic resource utilization is a major concern in multi-cloud platforms. It might result in underemployed resources, additional expenses and diminished functions due to the incapable resource utilization.

  • Potential Findings:
  1. Machine Learning-Based Resource Allocation:
  • Over diverse cloud providers, forecast resource requirements and enhance allocation by creating machine learning frameworks.
  • To prepare predictive frameworks, make use of historical consumption data and performance metrics.
  • Depending on anticipated perceptions, execute actual-time utilization modifications.
  1. Cost-Optimization Algorithms:
  • Detects the best allocation tactics through developing techniques which examine performance demands as well as financial boundaries.
  • In order to address the financial efficiency issue, deploy genetic or linear programming techniques.
  1. Interoperability Framework:
  • Beyond various cloud providers, normalize the resource statement and allocation tactics by designing an efficient model.
  • For the purpose of enabling effortless synthesization and resource management, design APIs and middleware.
  1. Problem Statement: Security and Privacy in Cloud Storage
  • Problem Description:

As the amount of virtual attacks and the sensibility of stored data are expanded, it could be difficult to assure the security and secrecy of stored data in cloud platforms. There is a necessity for more effective and ease-to-use security findings, because the conventional encryption methods weaken the performance and practicality.

  • Potential Findings:
    1. Homomorphic Encryption:
  • Without the necessity of decryption, access computations on encrypted data through executing homomorphic encryption techniques.
  • Especially for realistic applications, assess the performance considerations and enhance the techniques.
    1. Blockchain for Secure Auditing:
  • For data access and adjustments, develop a permanent audit trail with the help of blockchain mechanisms.
  • To automate access management and adherence testing, model blockchain technologies.
    1. Attribute-Based Encryption (ABE):
  • In terms of user profile attributes and strategies, utilize the ABE (Attribute-Based Encryption) to access advanced access management.
  • Among various users with diverse levels of authorization, examine the potential of data where it is distributed in a multi-tenant platform.
  1. Problem Statement: Energy Efficiency in Cloud Data Centers
  • Problem Description:

It leads to high functional expenses and ecological implications in the case of cloud centers which utilize a considerable amount of energy. Without impairing the performance and integrity of cloud services, it requires efficient tactics to improve energy efficiency.

  • Potential Findings:
    1. Dynamic Resource Allocation:
  • Throughout the down-time periods, integrate the load densities over fewer servers by executing effective resource utilization tactics which efficiently disables the inactive servers.
  • To predict requirements and modify resource utilization in a dynamic manner, make use of predictive analytics.
    1. Energy-Aware Scheduling Algorithms:
  • According to the energy usage profiles, design scheduling techniques which primarily focus on energy efficiency that enhances the task arrangement and reduces the server state variations.
    1. Renewable Energy Integration:
  • The synthesization of renewable energy sources into data center operations required to be investigated.
  • In accordance with accessibility and cost, balance the application of renewable and non-renewable energy in an effective manner by creating techniques.
  1. Problem Statement: Latency Reduction in Edge-Cloud Architectures
  • Problem Description:

For applications which demand actual-time data processing and response like industrial Iot, smart cities and autonomous vehicles, it is tough to manage response time in edge-cloud models. To reduce response time, allocate computational programs among edge devices and cloud data centers which are very essential.

  • Potential Findings:
    1. Task Offloading Strategies:
  • On the basis of determinants like network scenarios, response time demands and computational load, model techniques to choose which methods should be operated at the edge and which should be removed.
    1. Edge Caching Mechanisms:
  • For decreasing the necessities in deriving data from remote cloud servers, accumulate the often approachable data which is nearer to consumers by applying edge caching technologies.
    1. Optimized Communication Protocols:
  • As regards edge-cloud platforms which concentrate on enhancing data transfer speeds and decreasing the expenses, develop and apply communication protocols.
  1. Problem Statement: Disaster Recovery in Cloud Computing
  • Problem Description:

To preserve data reliability and industrial stability, assuring the dynamic DR (disaster Recovery) is very crucial in the cloud computing environment. In order to overcome this problem, develop DR tactics which must be capable of reducing spare time and data loss at the time of catastrophic scenarios as well as it should be affordable.

  • Potential Findings:
  1. Automated Backup and Recovery Systems:
  • Specifically for typical data backups and rapid recoveries, design automated systems which enable computing resources and cloud storage.
  • To forecast breakdowns and provoke protective measures, utilize machine learning techniques.
  1. Geo-Distributed Redundancy:
  • Over diverse spatial locations, reproduce the data by employing geo-distributed redundancy. Although if one site declines, it assures data accessibility.
  • As a means to balance performance, accessibility and consistency, improve data replication tactics.
  1. Disaster Recovery as a Service (DRaaS):
  • A DRaaS (Disaster Recovery as a Service) environment has to be created which offers efficient disaster recovery findings such as automated breakdowns, adherence with standard demands and actual-time monitoring.

Sample Project: Energy-Efficient Resource Allocation in Cloud Data Centers


  • Regarding Cloud data centers, improve energy efficiency by designing effective resource utilization tactics.
  • For the purpose of decreasing energy usage while preserving the performance, develop and execute energy-aware scheduling algorithms.
  • On the basis of the entire energy efficiency of cloud data centers, analyze the implications of synthesizing renewable energy sources.


  1. Literature Analysis:
  • In cloud computing, carry out an extensive analysis of current resource utilization and scheduling techniques.
  • To improve the energy efficiency, detect gaps and possibilities.
  1. Algorithm Creation:
  • Depending on the predictions of practical requirements, connect the load densities by creating effective resource allocation techniques.
  • According to their energy usage profiles, model energy-optimized scheduling methods which organize the tasks.
  1. Simulation and Verification:
  • On a cloud simulation platform like CloudSim, execute the suggested techniques.
  • Assess the energy efficiency and performance of the methods through simulating different load density conditions.
  1. Synthesization with Renewable Energy:
  • The practicality of synthesizing renewable energy sources into the data center power supply should be investigated.
  • Relying on accessibility and cost, stabilize the application of renewable and non-renewable energy in an efficient manner by modeling capable techniques.
  1. Assessment:
  • Significant performance metrics like task completion time, energy usage and resource allocation need to be evaluated.
  • To exhibit its potential, contrast the suggested findings with conventional methods.

Tools & Mechanisms:

  • Simulation Tools: GreenCloud and CloudSim.
  • Programming Languages: Python and Java.
  • Machine Learning Libraries: Scikit-learn and TensorFlow.
  • Cloud Platforms: Google Cloud, Azure and AWS.
Master Thesis Ideas Cloud Computing

Master Thesis Cloud Computing Topics & Ideas

We assure you that our Master Thesis Cloud Computing Topics & Ideas are cutting-edge and in line with the latest trends. Rest assured, we guarantee 100% success and utmost confidentiality for your valuable data. By teaming up with us, you can expect timely delivery and swift publication of your work on reputable journals.

  1. Resource management for Infrastructure as a Service (IaaS) in cloud computing: A survey
  2. D-cloud: Design of a software testing environment for reliable distributed systems using cloud computing technology
  3. Understanding determinants of cloud computing adoption using an integrated TAM-TOE model
  4. Fair allocation of multi-resources for multi-class users in cloud computing
  5. Enterprise architecture modeling based on cloud computing security ontology as a reference model
  6. An efficient data retrieval approach using blowfish encryption on cloud ciphertext retrieval in cloud computing
  7. Terrestrial and Space-based Cloud Computing with Scalable, Responsible and Explainable Artificial Intelligence – A Position Paper
  8. Associate Task Scheduling Algorithm Based on Delay-Bound Constraint in Cloud Computing
  9. Optimizing the Performance of Web Applications in Mobile Cloud Computing
  10. Game Theoretical Multi-user Computation Offloading for Mobile-Edge Cloud Computing
  11. A dynamic attribute-based risk aware access control model (DA-RAAC) for cloud computing
  12. The Requrirement and Experiment Test for Green Cloud Computing by Users
  13. ARUSH:Automated Runtime Universal Scanner for Hybrid Cloud computing
  14. Research and Application of Data Privacy Protection Technology in Cloud Computing Environment Based on Attribute Encryption
  15. A novel service oriented approach of trustworthiness attestation in cloud computing
  16. New trends in Biotechnology: The point on NGS Cloud computing solutions
  17. A comparative study of static and dynamic load balancing algorithms in cloud computing
  18. Performance Evaluation of Deadline Aware Multi-stage Scheduling in Cloud Computing
  19. A comparative study of time management and energy consumption in mobile cloud computing
  20. Independent tasks scheduling based on genetic algorithm in cloud computing


How deal with significant issues ?

1. Novel Ideas

Novelty is essential for a PhD degree. Our experts are bringing quality of being novel ideas in the particular research area. It can be only determined by after thorough literature search (state-of-the-art works published in IEEE, Springer, Elsevier, ACM, ScienceDirect, Inderscience, and so on). SCI and SCOPUS journals reviewers and editors will always demand “Novelty” for each publishing work. Our experts have in-depth knowledge in all major and sub-research fields to introduce New Methods and Ideas. MAKING NOVEL IDEAS IS THE ONLY WAY OF WINNING PHD.

2. Plagiarism-Free

To improve the quality and originality of works, we are strictly avoiding plagiarism since plagiarism is not allowed and acceptable for any type journals (SCI, SCI-E, or Scopus) in editorial and reviewer point of view. We have software named as “Anti-Plagiarism Software” that examines the similarity score for documents with good accuracy. We consist of various plagiarism tools like Viper, Turnitin, Students and scholars can get your work in Zero Tolerance to Plagiarism. DONT WORRY ABOUT PHD, WE WILL TAKE CARE OF EVERYTHING.

3. Confidential Info

We intended to keep your personal and technical information in secret and it is a basic worry for all scholars.

  • Technical Info: We never share your technical details to any other scholar since we know the importance of time and resources that are giving us by scholars.
  • Personal Info: We restricted to access scholars personal details by our experts. Our organization leading team will have your basic and necessary info for scholars.


4. Publication

Most of the PhD consultancy services will end their services in Paper Writing, but our is different from others by giving guarantee for both paper writing and publication in reputed journals. With our 18+ year of experience in delivering PhD services, we meet all requirements of journals (reviewers, editors, and editor-in-chief) for rapid publications. From the beginning of paper writing, we lay our smart works. PUBLICATION IS A ROOT FOR PHD DEGREE. WE LIKE A FRUIT FOR GIVING SWEET FEELING FOR ALL SCHOLARS.

5. No Duplication

After completion of your work, it does not available in our library i.e. we erased after completion of your PhD work so we avoid of giving duplicate contents for scholars. This step makes our experts to bringing new ideas, applications, methodologies and algorithms. Our work is more standard, quality and universal. Everything we make it as a new for all scholars. INNOVATION IS THE ABILITY TO SEE THE ORIGINALITY. EXPLORATION IS OUR ENGINE THAT DRIVES INNOVATION SO LET’S ALL GO EXPLORING.

Client Reviews

I ordered a research proposal in the research area of Wireless Communications and it was as very good as I can catch it.

- Aaron

I had wishes to complete implementation using latest software/tools and I had no idea of where to order it. My friend suggested this place and it delivers what I expect.

- Aiza

It really good platform to get all PhD services and I have used it many times because of reasonable price, best customer services, and high quality.

- Amreen

My colleague recommended this service to me and I’m delighted their services. They guide me a lot and given worthy contents for my research paper.

- Andrew

I’m never disappointed at any kind of service. Till I’m work with professional writers and getting lot of opportunities.

- Christopher

Once I am entered this organization I was just felt relax because lots of my colleagues and family relations were suggested to use this service and I received best thesis writing.

- Daniel

I recommend They have professional writers for all type of writing (proposal, paper, thesis, assignment) support at affordable price.

- David

You guys did a great job saved more money and time. I will keep working with you and I recommend to others also.

- Henry

These experts are fast, knowledgeable, and dedicated to work under a short deadline. I had get good conference paper in short span.

- Jacob

Guys! You are the great and real experts for paper writing since it exactly matches with my demand. I will approach again.

- Michael

I am fully satisfied with thesis writing. Thank you for your faultless service and soon I come back again.

- Samuel

Trusted customer service that you offer for me. I don’t have any cons to say.

- Thomas

I was at the edge of my doctorate graduation since my thesis is totally unconnected chapters. You people did a magic and I get my complete thesis!!!

- Abdul Mohammed

Good family environment with collaboration, and lot of hardworking team who actually share their knowledge by offering PhD Services.

- Usman

I enjoyed huge when working with PhD services. I was asked several questions about my system development and I had wondered of smooth, dedication and caring.

- Imran

I had not provided any specific requirements for my proposal work, but you guys are very awesome because I’m received proper proposal. Thank you!

- Bhanuprasad

I was read my entire research proposal and I liked concept suits for my research issues. Thank you so much for your efforts.

- Ghulam Nabi

I am extremely happy with your project development support and source codes are easily understanding and executed.

- Harjeet

Hi!!! You guys supported me a lot. Thank you and I am 100% satisfied with publication service.

- Abhimanyu

I had found this as a wonderful platform for scholars so I highly recommend this service to all. I ordered thesis proposal and they covered everything. Thank you so much!!!

- Gupta