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Improving Energy Efficiency Using Optimized Energy Model Virtual Machine Algorithm in Cloud Computing

S. Manjunatha

Computer Science and Engineering, Cambridge Institute of Technology, India

E-mail Address: suriakls@gmail.com

Corresponding author.

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and

L. Suresh

Department of Information Science and Engineering, RNSIT, India

E-mail Address: manju02@gmail.com

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https://doi.org/10.1142/S0219265921410334Cited by:0 (Source: Crossref)

This article is part of the issue:

Supplementary Issue 1 — Blockchain Assisted Cyber Physical System for Cyber Security
Guest Editors: BalaAnand Muthu, Imran Shafique Ansari, Xuan Liu (yusuf)

Abstract

Cloud computing is the emerging trend that provides a variety of applications to promote corporate business across the globe over the internet. Cloud computing offers services to deploy the infrastructure in the specified environment. Different computing techniques are used to manipulate the cloud services. One of the most eminent techniques is Virtual Machine (VM) Migration which enables to set up the compute resources and storages from one to another host without detaching the application or client. Virtual Machine Migration helpful in minimizing energy dissipation, load balancing, and fault management. It is based on the migration and down time with live and non-live categorization. Live VM Migration in data hubs has potential to minimize energy consumption. The proposed Optimized Energy Model Virtual Machine Algorithm is used to calculate each host in the data hub, while the energy consumed by the system in each hour is increasing exponentially then the proposed algorithm is also responsible for reorders the node and the minimizing the energy after reordering.

Keywords:

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