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Performance analysis based resource allocation for green cloud computing

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Abstract

Cloud computing has become a new computing paradigm that has huge potentials in enterprise and business. Green cloud computing is also becoming increasingly important in a world with limited energy resources and an ever-rising demand for more computational power. To maximize utilization and minimize total cost of the cloud computing infrastructure and running applications, resources need to be managed properly and virtual machines shall allocate proper host nodes to perform the computation. In this paper, we propose performance analysis based resource allocation scheme for the efficient allocation of virtual machines on the cloud infrastructure. We experimented the proposed resource allocation algorithm using CloudSim and its performance is compared with two other existing models.

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Acknowledgements

The research was supported by the Global Science experimental Data hub Center/KISTI in 2013.

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Authors and Affiliations

  1. Dept. of Computer Software Engineering, Soonchunhyang University, Asan, South Korea

    Hwa Min Lee

  2. Dept. of Multimedia Engineering, Dongguk University, Seoul, South Korea

    Young-Sik Jeong

  3. Global Science experimental Data hub Center, Korea Institute of Science and Technology Information, Daejeon, South Korea

    Haeng Jin Jang

Authors
  1. Hwa Min Lee
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  2. Young-Sik Jeong
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  3. Haeng Jin Jang
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Correspondence to Haeng Jin Jang.

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Lee, H.M., Jeong, YS. & Jang, H.J. Performance analysis based resource allocation for green cloud computing. J Supercomput 69, 1013–1026 (2014). https://doi.org/10.1007/s11227-013-1020-x

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  • DOI: https://doi.org/10.1007/s11227-013-1020-x

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