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MECpVmS: an SLA aware energy-efficient virtual machine selection policy for green cloud computing

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Abstract

Cloud computing provides a service-oriented computing model to cloud users on a metered basis. Most of the cloud data centers are running on fossil fuels. It elevates the carbon emissions to the environment. Green cloud computing is the fusion of greenness in cloud computing to address the issues related to energy consumption and environmental sustainability. Virtual machine (VM) consolidation and live migration can provide standard solutions to energy consumption. The selection of VM for migration is a vital task. It should be performed effectively to trade-off between energy consumption and service level agreement violation (SLAV). The research activity in this article focuses on a new VM selection policy that chooses VM with high energy consumption and small size. Real-world workload traces were used to evaluate the performance of the proposed MECpVmS VM selection policy. Using CloudSim simulation, the MECpVmS VM selection policy has been implemented and assessed with existing VM selection policies. The results show an overall improvement in energy efficiency, energy consumption, SLAV.

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Data available on request from the authors.

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Code available on request from the authors.

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Acknowledgements

The work of Waleed Alnumay is funded by Researchers Supporting Project Number (RSP-2021/250), King Saud University, Riyadh, Saudi Arabia.

Funding

This article received no funding from external sources.

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, University of Kalyani, Kalyani, Nadia, India

    Riman Mandal, Manash Kumar Mondal & Utpal Biswas

  2. Department of Computer Science and Engineering, Kalyani Govt. Engg. College, Kalyani, Nadia, India

    Sourav Banerjee

  3. Department of Math and Computer Science, Brandon University, Brandon, Canada

    Gautam Srivastava

  4. Research Centre for Internueral Computing, China Medical University, Taichung, Taiwan

    Gautam Srivastava

  5. Department of Computer Science, King Saud University, Riyadh, Saudi Arabia

    Waleed Alnumay

  6. Department of CS & DS, School of Applied Computational Sciences, Meharry Medical College, Nashville, TN, USA

    Uttam Ghosh

Authors
  1. Riman Mandal
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  2. Manash Kumar Mondal
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  3. Sourav Banerjee
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  4. Gautam Srivastava
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  5. Waleed Alnumay
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  6. Uttam Ghosh
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  7. Utpal Biswas
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Contributions

RM: Conceptualization, Methodology, Software, Data curation, Validation, Investigation, Visualization, Writing— original draft. MM: Supervision, Conceptualization, Methodology, Investigation, Writing—review and editing. SB: Supervision, Methodology, Validation, Writing—review and editing. WA: Writing—review and editing. GS: Methodology, Validation, Writing—review and editing. UG: Methodology, Writing—review and editing, UB: Methodology, Writing—review and editing.

Corresponding authors

Correspondence to Sourav Banerjee or Gautam Srivastava.

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Mandal, R., Mondal, M.K., Banerjee, S. et al. MECpVmS: an SLA aware energy-efficient virtual machine selection policy for green cloud computing. Cluster Comput 26, 651–665 (2023). https://doi.org/10.1007/s10586-022-03684-2

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  • DOI: https://doi.org/10.1007/s10586-022-03684-2

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