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DOI: 10.14569/IJACSA.2020.0110687
PDF

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), Volume 11 Issue 6, 2020.

  • Abstract and Keywords
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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: Energy efficiency; optimization; cloud data centers

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



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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