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Performance Evaluation of Cloud Data Centers with Batch Task Arrivals

Performance Evaluation of Cloud Data Centers with Batch Task Arrivals

Hamzeh Khazaei, Jelena Mišić, Vojislav B. Mišić
Copyright: © 2014 |Pages: 25
ISBN13: 9781466645226|ISBN10: 1466645229|EISBN13: 9781466645233
DOI: 10.4018/978-1-4666-4522-6.ch009
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MLA

Khazaei, Hamzeh, et al. "Performance Evaluation of Cloud Data Centers with Batch Task Arrivals." Communication Infrastructures for Cloud Computing, edited by Hussein T. Mouftah and Burak Kantarci, IGI Global, 2014, pp. 199-223. https://doi.org/10.4018/978-1-4666-4522-6.ch009

APA

Khazaei, H., Mišić, J., & Mišić, V. B. (2014). Performance Evaluation of Cloud Data Centers with Batch Task Arrivals. In H. Mouftah & B. Kantarci (Eds.), Communication Infrastructures for Cloud Computing (pp. 199-223). IGI Global. https://doi.org/10.4018/978-1-4666-4522-6.ch009

Chicago

Khazaei, Hamzeh, Jelena Mišić, and Vojislav B. Mišić. "Performance Evaluation of Cloud Data Centers with Batch Task Arrivals." In Communication Infrastructures for Cloud Computing, edited by Hussein T. Mouftah and Burak Kantarci, 199-223. Hershey, PA: IGI Global, 2014. https://doi.org/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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