Ph.D Guidance In Mobile Cloud Computing

The ubiquitous increase of the smartphones necessitates the integration of the rapidly growing Cloud application market with it. Mobile Cloud Computing (MCC) leverages cloud computing technology in mobile applications. MCC model utilizes cloud computing to increase the computational capacity of mobile devices to execute the resource-intensive tasks over the Internet. MCC technology supports highly functional applications to operate on any mobile device. By reducing the device Operating System (OS) configuration and dependency, MCC enables the flexibility for mobile applications.

The increased use of Information and Communication Technology (ICT) with mobility has created a revolutionary change in day-to-day life. MCC overcomes the obstacles in mobile resources such as battery life, bandwidth, and storage. In consequence, mobile users attain many benefits through cloud-enabled mobile applications. MCC provides opportunities for mobile users to utilize the Infrastructure, Platform, and Software services through cloud providers without the need for higher CPU speed, storage, and memory capacity in the mobile devices. Moreover, MCC promises minimal pressure on mobile battery resources, improved storage capacity, user privacy, reliability, scalability, and device flexibility.

With the most pioneering blends of modern technologies, MCC provides highly beneficial solutions to mobile users as well as cloud-based service providers. The increase of fragmentation of devices such as a smartphone, tablet, laptop, Personal computer demands the access of multiple applications belongs to the mobile cloud. Several potential mobile cloud applications include video streaming, online gaming, social networking, and online storage applications. The rise of mobile commerce applications utilized by consumers creates a great impact on mobile cloud computing.

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 Mobile Cloud Computing
  • Problem Identification in Mobile Cloud Computing
  • Research Methodology
  • Mathematical Model / Formulation
  • Literature Survey in Mobile 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.

Research Topics

  • Mobile cloud computing architecture
  • Mobile cloud offloading
  • Energy-efficient transmission
  • Context-aware computing
  • Live Virtual Machine (VM) migration
  • Mobile cloud computing with 5G technology
  • Quality of Service (QoS) and resource management
  • Cross-layer design and optimization in mobile cloud computing
  • Integration of Cloudlet with mobile edge computing
  • Mobile communication congestion in mobile cloud
  • Trust, privacy, and security in mobile cloud computing

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
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