World Journal of Engineering Research and Technology (WJERT) has indexed with various reputed international bodies like : Google Scholar , Index Copernicus , Indian Science Publications , SOCOLAR, China , International Institute of Organized Research (I2OR) , Cosmos Impact Factor , Research Bible, Fuchu, Tokyo. JAPAN , Scientific Indexing Services (SIS) , Jour Informatics (Under Process) , UDLedge Science Citation Index , International Impact Factor Services , International Scientific Indexing, UAE , International Society for Research Activity (ISRA) Journal Impact Factor (JIF) , International Innovative Journal Impact Factor (IIJIF) , Science Library Index, Dubai, United Arab Emirates , Scientific Journal Impact Factor (SJIF) , Science Library Index, Dubai, United Arab Emirates , Eurasian Scientific Journal Index (ESJI) , Global Impact Factor (0.342) , IFSIJ Measure of Journal Quality , Web of Science Group (Under Process) , Directory of Research Journals Indexing , Scholar Article Journal Index (SAJI) , International Scientific Indexing ( ISI ) , Scope Database , Academia , 

World Journal of Engineering Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

ISSN 2454-695X

Impact Factor : 7.029

ICV : 79.45

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    Article are invited for publication in WJERT Coming Issue

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    WJERT Rank with Index Copernicus Value 79.45 due to high reputation at International Level

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Indexing

Abstract

A REVIEW ON ENERGY AWARE RESOURCE MANAGEMENT THROUGH DECENTRALIZED AND BALANCED WORKLOAD IN CLOUD COMPUTING

Dr. S. Karthikeyan and Dr. S. Sundararajan*

ABSTRACT

Cloud computing is one of the emerging trends in the computing technologies which change the way the people using IT resources for business and other purposes. The demand for energy efficient resource management techniques in cloud computing is increasing dramatically due to its growth in financial, business, healthcare, governance, social and web applications. One of the main concerns in this technology is to reduce the cost of hardware, software, power and maintenance. To fulfil the higher demand, services providers are increasing large scale data centres that consume high volume of electric power which makes the negative impact in nature. In this paper, we present the comprehensive review of energy aware techniques available for data centres which makes optimum allocation of resources and selection algorithms for virtual machines in the cloud.

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