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Performance Factors of Cloud Computing Data Centers Using [(M/G/1) : (∞/Gdmodel)] Queuing Systems

Author(s): N.Ani Brown Mary | K.Saravanan

Journal: International Journal of Grid Computing & Applications
ISSN 2229-3949

Volume: 04;
Issue: 01;
Start page: 1;
Date: 2013;
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Keywords: Cloud computing | performance analysis | response time | queuing theory | markov chain process 1.

The ever-increasing status of the cloud computing hypothesis and the budding concept of federated cloudcomputing have enthused research efforts towards intellectual cloud service selection aimed at developingtechniques for enabling the cloud users to gain maximum benefit from cloud computing by selectingservices which provide optimal performance at lowest possible cost. Cloud computing is a novel paradigmfor the provision of computing infrastructure, which aims to shift the location of the computinginfrastructure to the network in order to reduce the maintenance costs of hardware and software resources.Cloud computing systems vitally provide access to large pools of resources. Resources provided by cloudcomputing systems hide a great deal of services from the user through virtualization. In this paper, thecloud data center is modelled as [(M/G/1) : (/GD MODEL)] queuing system with a single task arrivalsand a task request buffer of infinite capacity.
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