Cluster Computing

, Volume 21, Issue 1, pp 837–844 | Cite as

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

  • ZheXi YangEmail author
  • Wei Liu
  • Duo Xu


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.


Cloud computing Response time Queuing theory Markov chain 



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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Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  1. 1.College of StandardizationChina Jiliang UniversityHangzhouChina

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