Cloud Computing Thesis– a clear path to drive you towards your research success. Every research work is accompanied by thesis work, which is the final and most significant work. If you start your research with a perfect guidance, you can end up your research smoothly. We are here to lend our guiding hands for the budding scholars to make your research a ground breaking success. Our Cloud Computing Thesis reflects our standard, quality and novel ideas. Being members in 500+ journals, we get updated with every new concept registered. This makes our experience and knowledge immeasurable. Our thesis work gets well refined by technical experts and language rewriters to make it technically and communication wise proficient. In addition to thesis, we provide additional support like research proposal, viva voice preparation, journal and conference paper and complete code support. Approach us to mine innovative ideas from us to make your research an immense successful.


   Cloud Computing Thesis speaks about your overall research work, which you have accomplished in your research duration. This makes thesis very significant past of Research. Cloud computing is an emerging domain, which have great impact in the research field. What is Cloud actually and why it is so significant? Can be a revolving question for many scholars. It is simple to say that cloud [internet based network] is a sharing platform, which provides high computing power, performance, cost effectiveness and accessibility of resources. Due to many rising issues in cloud like security, scalability and load balancing, it is major scope for research. We have provided few major aspects of cloud, for scholars to have an idea about cloud to take up best research concept in cloud.


Key features of Cloud computing:

  • Provides support for on demand service access and secure cloud hosting
  • It provides broad network access and resource pooling capabilities
  • Added features like Rapid elasticity, measured service, cost effective, agile, device and location independency, enhanced performance and productivity.
  • It provides reliable, scalable and secure solutions
  • Its major feature like Multitenancy[sharing of resource and costs across large pools] allows centralization, improves peak load capacity and efficient utilization of resource.
  • Cloud simulation can be done using iCancloud, CloudSim, Green cloud simulator.
  • Platform support[Windows, CentOS Linux, MAC OS X, SUSE Linux, Solaris, Ubuntu Linux]
  • Programming languages used [Python, Java,, Ruby, XML and SQL]

Software’s and Tools Used:

Eclipse Che(Version -4.4):

  • Cloud development IDE


  • Frontend JavaScript and backend-NodeJS framework
  • Based on C++, Python, Perl, Scala and Ruby


  • Supports HTML, JavaScript, CSS, MySQL, PHP.
  • Supported by iOs, Android and blackberry

eXo Cloud IDE:

  • Supports Javascript, Groovy, Ruby and HTML
  • Supports Java servlets, java server pages, Maven.
  • Deployed by CloudBees, Heroku, Red Hat Openshift, cloud foundry etc.


  • Textmate like IDE used for web development
  • Storage is provided by Dropbox and supports C,C++, Python,PHP,Javascript, Python, MySQL, Ruby and Java

Python Fiddle:

  • It is like JSFiddle used for web development
  • Works as Code editor and code execution environment to run snippets and debug it


  • Java based Eclipse IDE for desktop application development
  • Uses HTML and Javascript for web development

Frequently used Algorithms: 

Service and Infrastructure algorithms:

  • Least connection mechanism
  • Dynamic Round Robin algorithm
  • Weighted Round Robin algorithm
  • First come first serve algorithm
  • Throttled load balancing algorithm
  • Min -Min and Max-Min algorithm
  • Observed algorithm
  • Dynamically reconfigurable routing for load balancing
  • Opportunistic load balancing algorithm
  • Equally spread current execution load
  • Two phase scheduling load balancing algorithm
  • Ant colony optimization based load balancing algorithm
  • Biased Random sampling load balancing algorithm
  • Honeybee foraging load balancing algorithm
  • Most fit task scheduling algorithm
  • Active clustering load balancing algorithm

Security algorithms in Cloud:

  • RSA algorithm
  • Message Digest algorithm 5
  • Advanced Encryption standard algorithm
  • Triple DES algorithm
  • Blowfish algorithm
  • Twofish algorithm
  • Data encryption standard(DES) algorithm
  • SHA-1 algorithm
  • Homomorphic encryption

Service Broker Algorithms:

  • Performance optimized routing
  • Service Proximity based Routing
  • Resource location and cost based performance optimized routing
  • Enhanced Proximity based Routing Algorithm

GUI in Cloud :

Supported by Open Cloud computing Interface[OCCI]

  • Current version- 1.1
  • Uses REST[Representational state transfer] to interact with web service

Database support:

Can use Cloud database in two ways:

  • Run databases on cloud independently using virtual machine image
  • Access to database services maintained by cloud database providers
  • Databases are of two types i.e. SQL based or NoSQL data models

Cloud Databases:

  • Garantia data[NoSQL database service for open source Redis and Memcached ]
  • Google Cloud SQL[Uses MySQL and Google BigQuery]
  • Microsoft Azure[SQL server technology]
  • MongoLab[Uses MongoDB]
  • Rackspace database[NoSQL database-uses container based virtualization]
  • SAP[uses HANA]
  • StormDB[Runs on fully distributed and relational database]
  • Xeround [tool to deploy MySQL database]

Research scope in Cloud:

Areas to work on

  • Cloud in big data Realm
  • Mobile cloud technology
  • Green cloud computing
  • Security in cloud[security aspects]

                          -Physical security and data location

                          -Backup and recovery

                          -Network security

                          -Confidentiality and integrity

                          -Data portability

                          -Operational compliance

Research applications:

  • Energy optimization in cloud
  • Security and integrity for cloud
  • Load balancing in cloud computing
  • Virtualization in cloud
  • Data recovery, segregation, backup and recovery issues in cloud
  • Multi- tenancy cloud privacy
  • Resource optimization using scheduling concepts in cloud
  • Cloud cryptography and secure cloud architecture
  • Key management and cloud access control
  • Verifiable computation and trusted computing technology
  • Privacy aware protocol design and joint security issues in cloud
  • Data segregation security and Integrity assurance for data outsourcing
  • Security for virtualized resources
  • Failure management for failure detection and prediction
  • Security for cloud data centers
  • Availability, recovery and auditing services in cloud
  • Secure mobile cloud and computation outsourcing


     You can take any one of the research area or application to work on Cloud computing thesis. If you feel to have more in depth research into each application, you can approach us for an online session. Our experts will guide you in the best way to enhance your research performance.