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Performance Analysis of Cloud Computing Centers for Bulk Services

Author

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  • Veena Goswami

    (School of Computer Application, KIIT University, Bhubaneswar, India)

  • Sudhansu Shekhar Patra

    (School of Computer Application, KIIT University, Bhubaneswar, India)

  • G. B. Mund

    (School of Computer Engineering, KIIT University, Bhubaneswar, India)

Abstract

Cloud is a service oriented platform where all kinds of virtual resources are treated as services to users. Several cloud service providers have offered different capabilities for a variety of market segments over the past few years. The most important aspects of cloud computing are resource scheduling, performance measures, and user requests. Sluggish access to data, applications, and web pages spoils employees and customers alike, as well as cause application crashes and data losses. In this paper, the authors propose an analytical queuing model for performance evaluation of cloud server farms for processing bulk data. Some important performance measures such as mean number of tasks in the queue, blocking probability, and probability of immediate service, and waiting-time distribution in the system have also been discussed. Finally, a variety of numerical results showing the effect of model parameters on key performance measures are presented.

Suggested Citation

  • Veena Goswami & Sudhansu Shekhar Patra & G. B. Mund, 2012. "Performance Analysis of Cloud Computing Centers for Bulk Services," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 2(4), pages 53-65, October.
    • Handle: RePEc:igg:jcac00:v:2:y:2012:i:4:p:53-65
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    Cited by:

    1. Mohan Chaudhry & Abhijit Datta Banik & Sitaram Barik & Veena Goswami, 2023. "A Novel Computational Procedure for the Waiting-Time Distribution (In the Queue) for Bulk-Service Finite-Buffer Queues with Poisson Input," Mathematics, MDPI, vol. 11(5), pages 1-26, February.

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