A Survey on Maximizing Energy Efficiency and Resource Utilization in Virtual Machines Using Prediction Algorithms

Authors

  • P. Udayasankaran, John Justin Thangaraj

Keywords:

Cloud data center, Prediction algorithm, Resource allocation

Abstract

Cloud computing has received a good response widely now a days. The recent growth of cloud shows many users are already adopting it at an unprecedented rate for both personal and professional requirements, because there are naturally high rate of datacenter deployments and implementations worldwide. Cloud datacenters are known to be significant energy consumers and environmental polluters as a result of this growing adoption. There are many problems presently, including: Resource allocation and Energy. It makes systems poor and expensive. Forecasting methodology can improve cloud efficiency and reduce operational costs. The enhanced dynamic of Cloud systems comes with a number of operational and analytical issues. The maximizing energy efficiency and resource utilization of this research work have various behavioral changes and clients are yet not fully understood.  Our paper presents an in depth analysis of challenges and research works carried out in maximizing energy efficiency and resource utilization using various prediction algorithms.

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Published

16.03.2024

How to Cite

John Justin Thangaraj, P. U. . (2024). A Survey on Maximizing Energy Efficiency and Resource Utilization in Virtual Machines Using Prediction Algorithms. International Journal of Intelligent Systems and Applications in Engineering, 12(3), 1037–1042. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5383

Issue

Vol. 12 No. 3 (2024)

Section

Research Article

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