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Study of cloud service queuing model based on imbedding Markov chain perspective

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Abstract

A cloud service model has been built in this article to evaluate the QoS of cloud service system. The Markov chain of the viewpoint has been created by applying imbedding Markov chain approach. The random arrivals of cloud requests based on the non follow-up effectiveness characteristics of the Markov chain have been simulated. A cloud service queuing model has been set up by using queue waiting time, network delay time and server processing time as the measurable indicators of cloud service system serving level, and the effectiveness of the evaluating model of cloud service quality raised in this article has been validated by means of analysis and simulation.

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Acknowledgements

This work was supported by Soft Science Research Program of Zhejiang Province (No.2016C25G2080022), Philosophy and Social Sciences Key Research Base of Hangzhou City-Elect-ronic Commerce and Network Economy Research Center of Hangzhou Normal University (No.2015JD30), and Education Department Scientific Research Project of Zhejiang Province (No.Y201432184).

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  1. College of Standardization, China Jiliang University, No. 258, Xueyuan Road, Jianggan District, Hangzhou, 310018, China

    ZheXi Yang, Wei Liu & Duo Xu

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  1. ZheXi Yang
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  2. Wei Liu
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  3. Duo Xu
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Correspondence to ZheXi Yang.

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Yang, Z., Liu, W. & Xu, D. Study of cloud service queuing model based on imbedding Markov chain perspective. Cluster Comput 21, 837–844 (2018). https://doi.org/10.1007/s10586-017-0907-3

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  • DOI: https://doi.org/10.1007/s10586-017-0907-3

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