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Energy-Aware VM Scheduler: A Systematics Review

Energy-Aware VM Scheduler: A Systematics Review

Ram Narayan Shukla, Anoop Kumar Chaturvedi
Copyright: © 2022 |Volume: 13 |Issue: 6 |Pages: 15
ISSN: 1947-8186|EISSN: 1947-8194|EISBN13: 9781668458174|DOI: 10.4018/IJISMD.297631
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MLA

Shukla, Ram Narayan, and Anoop Kumar Chaturvedi. "Energy-Aware VM Scheduler: A Systematics Review." IJISMD vol.13, no.6 2022: pp.1-15. http://doi.org/10.4018/IJISMD.297631

APA

Shukla, R. N. & Chaturvedi, A. K. (2022). Energy-Aware VM Scheduler: A Systematics Review. International Journal of Information System Modeling and Design (IJISMD), 13(6), 1-15. http://doi.org/10.4018/IJISMD.297631

Chicago

Shukla, Ram Narayan, and Anoop Kumar Chaturvedi. "Energy-Aware VM Scheduler: A Systematics Review," International Journal of Information System Modeling and Design (IJISMD) 13, no.6: 1-15. http://doi.org/10.4018/IJISMD.297631

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Abstract

Cost is the backbone of any business model to sustain and growth in the competitive business market. Considering this, higher energy consumption may affect the operational cost of any industry. Cloud computing is one of the most popular IT business model for service provider and its users. It is observed in many research, that the average cost of the services are highly dependent upon the run time and power consumption. More power consumption effect the environmental things as well. In this review, more than 100 research articles are considered to evaluate the energy consumption methods, issues and challenges from 2009 to 2021. Based on the study, the energy-aware load balancing methods are classified into four major clusters. The most cited methods are compared based on method used, platform where it is deployed, different evaluation parameters like cost, run time, Virtual Machine utilization, Service-level-agreement violation rate, and Quality-of-service QoS. The result of this review is presented as open research issues and challenges for forthcoming research.