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  • 标题:A Game Theory-based Virtual Machine Placement Algorithm in Hybrid Cloud Environment
  • 本地全文:下载
  • 作者:Nawaf Alharbe ; Mohamed Ali Rakrouki
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2022
  • 卷号:13
  • 期号:3
  • DOI:10.14569/IJACSA.2022.0130373
  • 语种:English
  • 出版社:Science and Information Society (SAI)
  • 摘要:This paper deals with the problem of virtual ma-chine placement in hybrid cloud situation from an economic and QoS perspectives. Because excessive investment of resources in cloud computing environment will result in resources waste, and too few resources can generate QoS issues. This paper uses a game theory model to describe the problem and find the balance between these contradictions. Based on this model, a virtual machine placement algorithm for scheduling virtual resources is proposed. Compared to the traditional game theory, our LBOGT algorithm proposes a game between tripartite sides: users, individual providers and provider groups. Experiments show that our proposed algorithm reduces physical machines energy consumption by 6.16%, and increases by 10.6% in profit provider under the premise of users’ QoS.
  • 关键词:Cloud computing; virtual machine placement; game theory; quality of service; load balancing; energy consumption
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