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research-article

VM Consolidation Plan for Improving the Energy Efficiency of Cloud

Authors:

Mahendra Singh AswalAuthors Info & Claims

Cybernetics and Information Technologies, Volume 21, Issue 3

Pages 145 - 159

https://doi.org/10.2478/cait-2020-0035

Published: 01 September 2021 Publication History

Abstract

Achieving energy-efficiency with minimal Service Level Agreement (SLA) violation constraint is a major challenge in cloud datacenters owing to financial and environmental concerns. The static consolidation of Virtual Machines (VMs) is not much significant in recent time and has become outdated because of the unpredicted workload of cloud users. In this paper, a dynamic consolidation plan is proposed to optimize the energy consumption of the cloud datacenter. The proposed plan encompasses algorithms for VM selection and VM placement. The VM selection algorithm estimates power consumption of each VM to select the required VMs for migration from the overloaded Physical Machine (PM). The proposed VM allocation algorithm estimates the net increase in Imbalance Utilization Value (IUV) and power consumption of a PM, in advance before allocating the VM. The analysis of simulation results suggests that the proposed dynamic consolidation plan outperforms other state of arts.

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Cited By

Thai SBui HVu HNguyen KHuynh THoang K(2023)Enhancing Face Anti-Spoofing with Swin Transformer-driven Multi-stage PipelineProceedings of the 12th International Symposium on Information and Communication Technology10.1145/3628797.3628948(40-47)Online publication date: 7-Dec-2023
https://dl.acm.org/doi/10.1145/3628797.3628948
Raghavendra Jingade RSanjeev Kunte R(2022)DOG-ADTCPExpert Systems with Applications: An International Journal10.1016/j.eswa.2022.117207201:COnline publication date: 1-Sep-2022
https://dl.acm.org/doi/10.1016/j.eswa.2022.117207

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Information & Contributors

Information

Published In

cover image Cybernetics and Information Technologies

Cybernetics and Information Technologies Volume 21, Issue 3

Sep 2021

344 pages

ISSN:1314-4081

EISSN:1314-4081

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© 2021 Satveer et al., published by Sciendo.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Publisher

Walter de Gruyter GmbH

Berlin, Germany

Publication History

Published: 01 September 2021

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Cited By

Thai SBui HVu HNguyen KHuynh THoang K(2023)Enhancing Face Anti-Spoofing with Swin Transformer-driven Multi-stage PipelineProceedings of the 12th International Symposium on Information and Communication Technology10.1145/3628797.3628948(40-47)Online publication date: 7-Dec-2023
https://dl.acm.org/doi/10.1145/3628797.3628948
Raghavendra Jingade RSanjeev Kunte R(2022)DOG-ADTCPExpert Systems with Applications: An International Journal10.1016/j.eswa.2022.117207201:COnline publication date: 1-Sep-2022
https://dl.acm.org/doi/10.1016/j.eswa.2022.117207

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