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A performance evaluation model for virtual servers in KVM-based virtualized system

  • Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

According to the statistics, there is low resource utilization and high energy consumption in traditional servers. To reduce the cost, more and more companies begin to build virtual servers. Sever virtualization implements the mapping from virtual resources to physical resources and deal with resource contention among all VMs. Because of complexity of virtualized server systems, it is necessary to evaluate the performance of virtual servers. In this paper, we present the major performance-influencing factors in KVM virtualization. Based on factors, then we propose a performance evaluation model based on queuing networking model. In the end, we give a case study to illustrate the use of performance evaluation model on specific KVM virtualized environment and verify the correctness of the model.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE International Conference on Smart City, SmartCity 2015, Held Jointly with 8th IEEE International Conference on Social Computing and Networking, SocialCom 2015, 5th IEEE International Conference on Sustainable Computing and Communications, SustainCom 2015, 2015 International Conference on Big Data Intelligence and Computing, DataCom 2015, 5th International Symposium on Cloud and Service Computing, SC2 2015
EditorsXingang Liu, Robert C. H. Hsu, Peicheng Wang, Feng Xia, Yufeng Wang, Mianxiong Dong, Yuhui Deng
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages66-71
Number of pages6
ISBN (Electronic)9781509018932
DOIs
StatePublished - 2015
Event2015 IEEE International Conference on Smart City, SmartCity 2015 - Chengdu, China
Duration: 19 Dec 2015 → 21 Dec 2015

Publication series

NameProceedings - 2015 IEEE International Conference on Smart City, SmartCity 2015, Held Jointly with 8th IEEE International Conference on Social Computing and Networking, SocialCom 2015, 5th IEEE International Conference on Sustainable Computing and Communications, SustainCom 2015, 2015 International Conference on Big Data Intelligence and Computing, DataCom 2015, 5th International Symposium on Cloud and Service Computing, SC2 2015

Conference

Conference2015 IEEE International Conference on Smart City, SmartCity 2015
Country/TerritoryChina
CityChengdu
Period19/12/15 → 21/12/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • KVM
  • Performance evaluation
  • Queuing network model
  • Server virtualization

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