Cloud Computing Master Thesis

Cloud Computing Master Thesis

  Cloud Computing Master Thesis offers amazing strategy to create a highway in pathless place in your instinctual voyage. Our technical team of professionals preparing customized thesis for students and research academicians with the goal of fulfill their requirements. We prepare thesis in various research areas based on the advancement of new technology. Our groundbreaking skillful experts practice their knowledge in advanced technologies, trendy research developments, tools and techniques which encourage scholars reasoning and programming skill to attain at a final thesis statement. Students who are needed our guidance and support in your thesis to prepare your thesis by own. You can make contact with us by dint of our 24/12 live support. Together Everyone Achieves More …….

Cloud Computing Master Thesis

  Cloud Computing Master Thesis gives well patterned thesis for master students and research scholars with plagiarism free contents. We are provide admirable guidance for scholars in thesis phase with an interesting  research concepts including cloud computing application portability, cloud standardized SLA, cloud related privacy, agent based cloud computing, cloud computing testbeds, assurance and security properties in cloud environments, cloud based big data analytics and so on.   We have been working in the cloud computing for more than 10 years and in that time we have successfully accomplished over 1000+ Cloud Computing Master Thesis in varying subject areas.

Let’s view some subject areas on cloud computing,

  • Load Balancing
  • Data Centers
  • Creation and Execution of Cloudlets
  • Tasks Scheduling
  • Cost and Storage Factors
  • Energy Optimization … and many others
  • Resource Provisioning

  In addition to the subject areas, you have the opportunity to view our cloud computing master thesis structure. For writing a customized thesis (as per your university format), please contact our organization through phone or mail. Let’s view our Cloud Computing Master Thesis Structure,


-Executive Summary/Abstract


-List of Figures

-List of Tables

-List of Acronyms and Abbreviations

-Chapter 1 Introduction

  • Motivation
  • Background
  • Problem Definition
  • Research Questions
  • Approach/Methodology
  • Project Process
  • Thesis Structure

-Chapter 2 State of the art

  • General Information
  • History
  • Threats and Risks
  • Success Factors

-Chapter 3 Research Methodology

  • Methodology model
  • Research Study
  • Information sources
  • Research Procedure
  • Chapter Summary

-Chapter 4 Literature Review

-Chapter 5 Research Analysis

  • Experimentation of the Proposed Framework
  • Evaluation and Analysis the limitations of Existing Framework

-Chapter 6 Conclusion

  • Research Overview
  • Future work


  • Books
  • Web sites
  • Literature


Most Recent Title List on Cloud Computing Master Thesis:

  • Workflow Scheduling Based on Cuckoo Search on Heterogeneous Resources
  • Neural Network Based Method and Application for Aerodynamic Derivatives Estimation
  • Design Neural Network Optimal Architecture for Educational Dataset with Particle Swarm Optimization Technique
  • Provision Based Data Centric Internet of Things (IoT) Services in Fog Cloud Computing Frameworks
  • An Evolutionary Game in Fog Radio Access Networks for User Access Mode Selection
  • Particle Swarm Optimization and Differential Evolution for an Efficient Hybrid Approach
  • Delay Tolerant E-Health Apps Used in Mobile Caching Enabled Small Cells
  • Intrusion Detection Model Based on K-Nearest Neighbor Classifier and Genetic Programming
  • Network Optimization Towards On-Demand Equivalent Network View Abstraction
  • Driver Detection Techniques Surveillance for Intelligent Transportation Systems
  • Cost Effective Distributed Paradigm in Cloud Based Mobile Crowd Sensing Architectures for Data Collection
  • Hybrid Computing Technologies and Application for High Performance Distributed NFV Systems
  • Enhanced Straggler Identification Strategy on Cloud Environment for Data Intensive Computing
  • Improving Distribution Systems Reliability by Ricci Flows Based Intrusion Detection System Usage
  • Internet of Things (IoT) Application Modules Resource Aware Placement in Fog-Cloud Computing Framework