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Research Article | Open Access |

A Review on Virtual Machine Positioning and Consolidation Strategies for Energy Efficiency in Cloud Data Centers

Author 1: Nahuru Ado Sabongari Author 2: Abdulsalam Ya’u Gital Author 3: Souley Boukari Author 4: Badamasi Ja’afaru Author 5: Muhammad Auwal Ahmed Author 6: Haruna Chiroma
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 11, No. 6 · Published 2020

DOI: https://doi.org/10.14569/IJACSA.2020.0110687

Abstract

The cloud data center consumes massively more and more energy which is considered inacceptable. Therefore further efforts are needed to improve the energy efficiency of such data centers by using Server Consolidation to minimize the number of Active Physical Machines (APMs) in a data center setting. Strategies for positioning and transformation of VM maintain their usefulness as a roadmap to maximum consolidation. The latest techniques do complex restructuring, thus optimizing VM's positioning. The paper provides a detailed state-of - the-art strategies for VM positioning and consolidation that help improve energy efficiency in cloud data centers. A comparison is provided here between the strategies that revealed the worthiness, limitations and suggestions of strengthening other methods along the way.

Keywords

How to Cite this Article

Sabongari, N. A., Gital, A. Y., Boukari, S., Ja’afaru, B., Ahmed, M. A., & Chiroma, H. (2020). A Review on Virtual Machine Positioning and Consolidation Strategies for Energy Efficiency in Cloud Data Centers. International Journal of Advanced Computer Science and Applications, 11(6). https://doi.org/10.14569/IJACSA.2020.0110687

Sabongari, Nahuru Ado, et al.. "A Review on Virtual Machine Positioning and Consolidation Strategies for Energy Efficiency in Cloud Data Centers." International Journal of Advanced Computer Science and Applications, vol. 11, no. 6, 2020, https://doi.org/10.14569/IJACSA.2020.0110687.

@article{Sabongari2020,
  title     = {A Review on Virtual Machine Positioning and Consolidation Strategies for Energy Efficiency in Cloud Data Centers},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {11},
  number    = {6},
  year      = {2020},
  publisher = {The Science and Information Organization},
  author    = {Nahuru Ado Sabongari and Abdulsalam Ya’u Gital and Souley Boukari and Badamasi Ja’afaru and Muhammad Auwal Ahmed and Haruna Chiroma},
  doi       = {10.14569/IJACSA.2020.0110687},
  url       = {https://doi.org/10.14569/IJACSA.2020.0110687}
}

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