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Research Article | Open Access |

A Game Theory-based Virtual Machine Placement Algorithm in Hybrid Cloud Environment

Author 1: Nawaf Alharbe Author 2: Mohamed Ali Rakrouki
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 13, No. 3 · Published 2022

DOI: https://doi.org/10.14569/IJACSA.2022.0130373

Abstract

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.

Keywords

How to Cite this Article

Alharbe, N., & Rakrouki, M. A. (2022). A Game Theory-based Virtual Machine Placement Algorithm in Hybrid Cloud Environment. International Journal of Advanced Computer Science and Applications, 13(3). https://doi.org/10.14569/IJACSA.2022.0130373

Alharbe, Nawaf, and Mohamed Ali Rakrouki. "A Game Theory-based Virtual Machine Placement Algorithm in Hybrid Cloud Environment." International Journal of Advanced Computer Science and Applications, vol. 13, no. 3, 2022, https://doi.org/10.14569/IJACSA.2022.0130373.

@article{Alharbe2022,
  title     = {A Game Theory-based Virtual Machine Placement Algorithm in Hybrid Cloud Environment},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {13},
  number    = {3},
  year      = {2022},
  publisher = {The Science and Information Organization},
  author    = {Nawaf Alharbe and Mohamed Ali Rakrouki},
  doi       = {10.14569/IJACSA.2022.0130373},
  url       = {https://doi.org/10.14569/IJACSA.2022.0130373}
}

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