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Survey on Energy Efficient Resource Allocation Methods in Cloud Environment

Published on March 2013 by Vinisha Sasidharan, P. Mohamed Shameem
International Conference on Innovation in Communication, Information and Computing 2013
Foundation of Computer Science USA
ICICIC2013 - Number 2
March 2013
Authors: Vinisha Sasidharan, P. Mohamed Shameem
d27d607b-8596-45bf-a53e-268c3f982643

Vinisha Sasidharan, P. Mohamed Shameem . Survey on Energy Efficient Resource Allocation Methods in Cloud Environment. International Conference on Innovation in Communication, Information and Computing 2013. ICICIC2013, 2 (March 2013), 6-11.

@article{
author = { Vinisha Sasidharan, P. Mohamed Shameem },
title = { Survey on Energy Efficient Resource Allocation Methods in Cloud Environment },
journal = { International Conference on Innovation in Communication, Information and Computing 2013 },
issue_date = { March 2013 },
volume = { ICICIC2013 },
number = { 2 },
month = { March },
year = { 2013 },
issn = 0975-8887,
pages = { 6-11 },
numpages = 6,
url = { /proceedings/icicic2013/number2/11292-1343/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Innovation in Communication, Information and Computing 2013
%A Vinisha Sasidharan
%A P. Mohamed Shameem
%T Survey on Energy Efficient Resource Allocation Methods in Cloud Environment
%J International Conference on Innovation in Communication, Information and Computing 2013
%@ 0975-8887
%V ICICIC2013
%N 2
%P 6-11
%D 2013
%I International Journal of Computer Applications
Abstract

Cloud computing is emerging as a new paradigm of large-scale distributed computing. It is a framework for enabling convenient, on demand network access to a shared pool of computing resources. Cloud computing environments provide scalability for applications by providing virtualized resources dynamically. It offers utility-oriented IT services to users worldwide. Based on a pay-as-you-go model, it enables hosting of pervasive applications from consumer, scientific, and business domains. However, data centers hosting Cloud applications consume huge amounts of electrical energy, contributing to high operational costs and carbon footprints to the environment. Therefore, Green Cloud computing solutions that can not only minimize operational costs but also reduce the environmental impact is essential. This paper discusses the various methods used to reduce energy consumption and scheduling algorithms in cloud computing.

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Index Terms

Computer Science
Information Sciences

Keywords

Scheduling Cloud Computing Energy Efficiency Virtualization