Notification: Our email services are now fully restored after a brief, temporary outage caused by a denial-of-service (DoS) attack. If you sent an email on Dec 6 and haven't received a response, please resend your email.
CFP last date
20 December 2024
Reseach Article

Data Center Energy Efficient Network Aware Scheduling

Published on May 2016 by Radhika Vaidya, Amruta Kharat, Debashish Mohapatra
National Conference on Advancements in Computer & Information Technology
Foundation of Computer Science USA
NCACIT2016 - Number 4
May 2016
Authors: Radhika Vaidya, Amruta Kharat, Debashish Mohapatra
a2d57029-f27f-4f91-9589-0788108b7fd6

Radhika Vaidya, Amruta Kharat, Debashish Mohapatra . Data Center Energy Efficient Network Aware Scheduling. National Conference on Advancements in Computer & Information Technology. NCACIT2016, 4 (May 2016), 20-22.

@article{
author = { Radhika Vaidya, Amruta Kharat, Debashish Mohapatra },
title = { Data Center Energy Efficient Network Aware Scheduling },
journal = { National Conference on Advancements in Computer & Information Technology },
issue_date = { May 2016 },
volume = { NCACIT2016 },
number = { 4 },
month = { May },
year = { 2016 },
issn = 0975-8887,
pages = { 20-22 },
numpages = 3,
url = { /proceedings/ncacit2016/number4/24721-3068/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advancements in Computer & Information Technology
%A Radhika Vaidya
%A Amruta Kharat
%A Debashish Mohapatra
%T Data Center Energy Efficient Network Aware Scheduling
%J National Conference on Advancements in Computer & Information Technology
%@ 0975-8887
%V NCACIT2016
%N 4
%P 20-22
%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. The cloud 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 to governmental, 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 as frequency scaling, voltage scaling and dynamic shutdown (hibernation) that are applied to the computing and networking components.

References
  1. Cloud computing The business perspective Sean Marston, Subhajyoti Bandyopadhyay ,Zhi Li , Juheng Zhang , Anand Ghalsasi J. Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd edition, vol. 2. Oxford: Clarendon, 1892, pp. 68 73
  2. Where are we at with Cloud Computing?: A Descriptive Literature Review Mary Tate,Haibo Yang. K. Elissa, "Title of paper if known," unpublished.
  3. Cloud computing: state-of-the-art and research challenges Qi Zhang Lu Cheng Raouf Boutaba
  4. Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing Anton Beloglazov,Jemal Abawajyb, Rajkumar Buyyaa Effective use of cloud computing in educational institutions Tuncay ErcanaY.
  5. A Review on Cloud Computing:Design Challenges in Architecture and SecurityFei Hu1, Meikang Qiu2, Jiayin Li2, Travis Grant1, Lee Butler1, Draw Tylor1, Seth McCaleb1, and Richard Hamner 1
  6. Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing Anton Beloglazov,Jemal Abawajyb, Rajkumar Buyyaa
  7. Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing Anton Beloglazov,Jemal Abawajyb, Rajkumar Buyyaa
  8. Green Cloud Framework For Improving Carbon Eciency of Clouds Chee Shin Yeo2,Saurabh Kumar Garg1, and Rajkumar Buyya
  9. Energy-aware simulation with DVFS Tom Gurout, Thierry Monteil Georges Da Costa b,Rodrigo Neves Calheiros Rajkumar Buyya , Mihai Alexandru1
  10. Cloud computing security: The scientific challenge, and a survey of solutions Mark D. Ryan.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Data Centers Energy Efficient Traffic Congestion.