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Reseach Article

Data Center Energy Efficient Network Aware Scheduling

Published on June 2016 by Radhika Vaidya, Amruta Kharat, Debashish Mohapatra
National Conference on Advances in Computing, Communication and Networking
Foundation of Computer Science USA
ACCNET2016 - Number 3
June 2016
Authors: Radhika Vaidya, Amruta Kharat, Debashish Mohapatra
8f848074-662d-4765-ace1-4664c76d8205

Radhika Vaidya, Amruta Kharat, Debashish Mohapatra . Data Center Energy Efficient Network Aware Scheduling. National Conference on Advances in Computing, Communication and Networking. ACCNET2016, 3 (June 2016), 19-21.

@article{
author = { Radhika Vaidya, Amruta Kharat, Debashish Mohapatra },
title = { Data Center Energy Efficient Network Aware Scheduling },
journal = { National Conference on Advances in Computing, Communication and Networking },
issue_date = { June 2016 },
volume = { ACCNET2016 },
number = { 3 },
month = { June },
year = { 2016 },
issn = 0975-8887,
pages = { 19-21 },
numpages = 3,
url = { /proceedings/accnet2016/number3/24986-2275/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advances in Computing, Communication and Networking
%A Radhika Vaidya
%A Amruta Kharat
%A Debashish Mohapatra
%T Data Center Energy Efficient Network Aware Scheduling
%J National Conference on Advances in Computing, Communication and Networking
%@ 0975-8887
%V ACCNET2016
%N 3
%P 19-21
%D 2016
%I International Journal of Computer Applications
Abstract

Over the last few years, cloud computing service have become more popular due to the evolving data centers and parallel computing. Thecloud is defined as a pool of computer resources to provide a computing function . The cost and operating expenses of data centers increase in computing capacity. According togovernmental, industrial, and academic surveys the energy utilized by computing and communication units in the data center leads to small amount of the data center operational costs. We build a system using virtual machine environment for energy aware cloud computing data centers. Along with that the workload distribution, the virtual machine environment is designed to capture all the information of the energy consumed by data center units such as servers, switches, and links as well as packet-level communication patterns in realistic setups. The work output is consider for different tier data center architectures show the effectiveness of utilizing power management schema, such asfrequency scaling, voltage scaling and dynamic shutdown(hibernation)that are applied to the computing and networking components.

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Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Data Centers Energy Efficient Traffic Congestion.