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Efficient Virtual Machine Resource Management for Media Cloud Computing
  • KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Efficient Virtual Machine Resource Management for Media Cloud Computing


Abstract

Virtual Machine (VM) resource management is crucial to satisfy the Quality of Service (QoS) demands of various multimedia services in a media cloud platform. To this end, this paper presents a VM resource allocation model that dynamically and optimally utilizes VM resources to satisfy QoS requirements of media-rich cloud services or applications. It additionally maintains high system utilization by avoiding the over-provisioning of VM resources to services or applications. The objective is to 1) minimize the number of physical machines for cost reduction and energy saving; 2) control the processing delay of media services to improve response time; and 3) achieve load balancing or overall utilization of physical resources. The proposed VM allocation is mapped into the multidimensional bin-packing problem, which is NP-complete. To solve this problem, we have designed a Mixed Integer Linear Programming (MILP) model, as well as heuristics for quantitatively optimizing the VM allocation. The simulation results show that our scheme outperforms the existing VM allocation schemes in a media cloud environment, in terms of cost reduction, response time reduction and QoS guarantee.


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Cite this article

[IEEE Style]
M. M. Hassan, B. Song, A. Almogren, M. S. Hossain, A. Alamri, M. Alnuem, M. M. Monowar and M. A. Hossain, "Efficient Virtual Machine Resource Management for Media Cloud Computing," KSII Transactions on Internet and Information Systems, vol. 8, no. 5, pp. 1567-1587, 2014. DOI: 10.3837/tiis.2014.05.004.

[ACM Style]
Mohammad Mehedi Hassan, Biao Song, Ahmad Almogren, M. Shamim Hossain, Atif Alamri, Mohammed Alnuem, Muhammad Mostafa Monowar, and M. Anwar Hossain. 2014. Efficient Virtual Machine Resource Management for Media Cloud Computing. KSII Transactions on Internet and Information Systems, 8, 5, (2014), 1567-1587. DOI: 10.3837/tiis.2014.05.004.