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Service Performance Analysis of Cloud Computing Server by Queuing System

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Mobile Computing, Applications, and Services (MobiCASE 2021)

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Abstract

Performance analysis of cloud computing server provides the basis for ensuring Quality of Service (QoS), and the service strategy of server will directly affect the analysis of performance indicators. The performance indicators of QoS are usually defined in the form of Service Layer Agreement (SLA), such as the average response time, the average queue length, immediate service probability and so on. In this work, Service performance analysis models based on \(Geo/G/1\) queuing system and queuing system with the vacation of the server are proposed. In these models, we analyze the main performance indicators of cloud computing server for the different parameters: the time between arrive of the task, the time of service, and the time of the provision of vacation. Furthermore, we discuss the optimizing concurrent number of the cloud computing.

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Acknowledgement

The thesis is supported by Postgraduate Education Reform and Quality Improvement Project of Henan Province (YJS2021AL008). I shall extend my thanks to Yan Liu for all his kindness and help. I’d like to thank my school for providing the experimental environment.

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Authors and Affiliations

  1. School of Software, Zhengzhou University, Zhengzhou, China

    Ruijuan Wang, Guangjun Zai & Haibo Pang

  2. School of Mathematics and Statistics, Zhengzhou University, Zhengzhou, China

    Yan Liu

  3. Henan Key Laboratory of Financial Engineering, Zhengzhou, China

    Yan Liu

Authors
  1. Ruijuan Wang
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  2. Guangjun Zai
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  3. Yan Liu
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  4. Haibo Pang
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Corresponding author

Correspondence to Guangjun Zai .

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Editors and Affiliations

  1. Zhejiang University, Hangzhou, China

    Shuiguang Deng

  2. University of Sydney, Sydney, NSW, Australia

    Albert Zomaya

  3. Bei**g Information Science and Technology University, Bei**g, China

    Ning Li

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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wang, R., Zai, G., Liu, Y., Pang, H. (2022). Service Performance Analysis of Cloud Computing Server by Queuing System. In: Deng, S., Zomaya, A., Li, N. (eds) Mobile Computing, Applications, and Services. MobiCASE 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 434. Springer, Cham. https://doi.org/10.1007/978-3-030-99203-3_3

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  • DOI: https://doi.org/10.1007/978-3-030-99203-3_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-99202-6

  • Online ISBN: 978-3-030-99203-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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