Multimedia Tools and Applications

, Volume 76, Issue 12, pp 14485–14509 | Cite as

Quality of service aware cloud resource provisioning for social multimedia services and applications

  • Tamal Adhikary
  • Amit Kumar Das
  • Md. Abdur RazzaqueEmail author
  • Majed Alrubaian
  • Mohammad Mehedi Hassan
  • Atif Alamri


The increasing number of next-generation multimedia services and social media applications in cloud computing put additional challenges in efficient resource provisioning that targets to minimize under or over utilization of resources as well as to increase user satisfaction. Most of the works in the literature focused either on resource estimation and scheduling approaches or energy consumption for executing social media data processing applications. However, they do not consider energy consumption cost for communication devices and network appliances and schedule Virtual Machines (VMs) based on centralized job placement approach. In this paper, we develop a Quality of Service (QoS) aware cloud resource management system that decreases energy consumption and increases resource utilization by diverse multimedia social applications. In order to minimize the VM creation time we allow recycling of VM resources for user request with similar resource requirements. We have developed two distributed and localized resource management algorithms based on energy conservation, and requirements and availability of resources. The results of simulation experiments depict that the resource scheduling system greatly reduces the amount of energy consumption while maintaining the QoS of social multimedia applications.


Multimedia healthcare applications Ubiquitous social media computing Resource provisioning Collaborative resource utilization Quality of service 



This project was full financially supported by the King Saud University, through Vice Deanship of Research Chairs.


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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Tamal Adhikary
    • 1
  • Amit Kumar Das
    • 1
  • Md. Abdur Razzaque
    • 1
    Email author
  • Majed Alrubaian
    • 2
  • Mohammad Mehedi Hassan
    • 2
  • Atif Alamri
    • 2
  1. 1.Green Networking Research Group, Department of Computer Science and EngineeringUniversity of DhakaDhakaBangladesh
  2. 2.Research Chair of Pervasive and Mobile Computing, College of Computer and Information SciencesKing Saud UniversityRiyadhSaudi Arabia

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