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Performance Evaluation of Cloud Data Centers with Batch Task Arrivals
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Author(s): Hamzeh Khazaei (Ryerson University, Canada), Jelena Mišić (Ryerson University, Canada)and Vojislav B. Mišić (Ryerson University, Canada)
Copyright: 2014
Pages: 25
Source title:
Communication Infrastructures for Cloud Computing
Source Author(s)/Editor(s): Hussein T. Mouftah (University of Ottawa, Canada)and Burak Kantarci (University of Ottawa, Canada)
DOI: 10.4018/978-1-4666-4522-6.ch009
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Abstract
Accurate performance evaluation of cloud computing resources is a necessary prerequisite for ensuring that Quality of Service (QoS) parameters remain within agreed limits. In this chapter, the authors consider cloud centers with Poisson arrivals of batch task requests under total rejection policy; task service times are assumed to follow a general distribution. They describe a new approximate analytical model for performance evaluation of such systems and show that important performance indicators such as mean request response time, waiting time in the queue, queue length, blocking probability, probability of immediate service, and probability distribution of the number of tasks in the system can be obtained in a wide range of input parameters.
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