Ph.D Guidance In Cloud Computing

Cloud computing comes into focus when there is a need for a way in IT to increase capacity or add capabilities on the fly without investing in new infrastructure, training new personnel, or licensing new software. Cloud computing encompasses any subscription-based or pay-per-use service that, in real time over the Internet, extends IT’s existing capabilities. Cloud computing is an expression used to describe a variety of computing concepts that involve a large number of computers connected through a real-time communication network such as the Internet.

Cloud computing offers numerous advantages both to end users and businesses of all sizes. Business are now able to focus on their core business by outsourcing all the hassle of IT infrastructure. Its user base grows constantly and more big players are attracted to it, offering better and more fine tuned services and solutions. Cloud computing remains strong and has great potential for the future.

In view of this great potential of cloud computing for the future S-LOGIX has included this domain in its project works.

  • Research Proposal in Cloud Computing
  • Problem Identification in Cloud Computing
  • Research Methodology
  • Mathematical Model / Formulation
  • Literature Survey in Cloud Computing
  • System Design and Implementation
  • Performance Analysis and Results
  • Writing Services: Journal Papers, Synopsis and Thesis


  • Ph.D – Computer Science and Engineering, Computer Science, Computer Application, Information Technology and Computer Networks.
  • M.E/M.Tech/M.S – Computer Science and Engineering, Computer Science, Computer Application, Information Technology and Computer Networks.

Related Area

  • PhD Guidance in Mobile Cloud Computing
  • PhD Guidance in Fog Computing
  • PhD Guidance in Edge Computing
  • PhD Guidance in Cloud Security
  • Data-Intensive Technologies for Cloud Computing
  • Storage and Fault Tolerance Strategies Used in Cloud Computing
  • Adaptive and Data-Driven Workload Manager for Generic Clouds
  • Integration of High-Performance Computing into Cloud Computing Services
  • Peer-to-Peer Based Cloud Workflow System
  • Service Scalability Over the Cloud
  • Scientific Services on the Cloud
  • Scientific Data Management in the Cloud
  • Cloud Management Mechanisms
  • Cloud Delivery Model Considerations
  • Advanced Cloud Architectures
  • Cloud-Based High Performance Computing Clusters
  • Cloud Computing Security
  • Privacy Preservation in Cloud Computing
  • Service Quality Metrics and SLAs

Tools and Technologies

  • Java/CloudSim
  • Netbeans 7.0
  • Eclipse 4.3
  • Tomcat 7.0
  • Glass Fish 4.0
  • My-SQL 5.5
  • Apache Axis2
  • ArgoUML
  • Java Database Connectivity (JDBC)
  • Java Server Pages (JSP)
  • Servlets