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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

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Paper Title:	Prediction Based Energy Efficient Technique for Enterprise Cloud Datacenters
Authors Name:	P.Sasikala , S.Suresh
Unique Id:	IJSDR1603033
Published In:	Volume 1 Issue 3, March-2016
Abstract:	Cloud Data centers use huge amount of electrical energy. And electrical energy is a very useful resource for the development of the country. With the need for dynamic computing resources and pay-per-use payment for the computing resources cloud computing is gaining much attention in recent times. Many cloud architectures are available in the market. But most of them do not take care about the efficient use of energy resources. The type of task scheduling greatly affects the energy consumption of a cloud data center. According to estimation Google data centers uses electrical energy that is equivalent to the energy requirement of a small size city. This work is all about to propose a dynamic idle interval prediction scheme that can estimate future CPU idle interval lengths and thereby choose the most cost-effective sleep state to minimize power consumption at runtime. Experiments show that our proposed approach can significantly outperform other existing schemes.
Keywords:	Cloud Computing, Energy efficiency, Prediction, Sleep states
Cite Article:	"Prediction Based Energy Efficient Technique for Enterprise Cloud Datacenters", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 3, page no.171 - 173, March-2016, Available :http://www.ijsdr.org/papers/IJSDR1603033.pdf
Downloads:	000337071
Publication Details:	Published Paper ID: IJSDR1603033 Registration ID:160082 Published In: Volume 1 Issue 3, March-2016 DOI (Digital Object Identifier): Page No: 171 - 173 Publisher: IJSDR \| www.ijsdr.org ISSN Number: 2455-2631

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