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Improving Performance of Algorithms in Distributed Computing with Perspective of Green Information Technology

by Era Johri, Shameela Shaikh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 18
Year of Publication: 2010
Authors: Era Johri, Shameela Shaikh
10.5120/380-567

Era Johri, Shameela Shaikh . Improving Performance of Algorithms in Distributed Computing with Perspective of Green Information Technology. International Journal of Computer Applications. 1, 18 ( February 2010), 71-74. DOI=10.5120/380-567

@article{ 10.5120/380-567,
author = { Era Johri, Shameela Shaikh },
title = { Improving Performance of Algorithms in Distributed Computing with Perspective of Green Information Technology },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 18 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 71-74 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number18/380-567/ },
doi = { 10.5120/380-567 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:46:44.634893+05:30
%A Era Johri
%A Shameela Shaikh
%T Improving Performance of Algorithms in Distributed Computing with Perspective of Green Information Technology
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 18
%P 71-74
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In Distributed Computing approach, it is followed to assign a job to a processor if it is idle. The focus is now on how to optimize resources to decrease the energy consumption by volumes of computing equipments to deal with green and sustainability issues. So that to save environment from Global Warming and utilizing the resources efficiently. This process is twofold - One hand providing green and power efficient algorithms and on the other supporting companies green investments. In order to minimize energy consumption by processor allocation we are providing some algorithms to generalize distributed computing. In this paper we provide algorithms to green compute by calculating a threshold and sending systems to power saving modes if the processor is idle.

References
  1. M. L. Liu, “Distributed Computing Concept and Applications
  2. Niranjan G. Shivaratri, Phillip Krueger, and Mukesh Singhal, “Load Distributing for Locally Distributed Systems” Compute, vol.12 no.22 pp.33-44, Dec. 1992, doi: 10.1109/2.179115
  3. Andrew S. Tanenbaum, “Distributed Systems: Principles and Paradigms”, Pearsons
  4. Jason Harris, “Green Computing and Green IT Best Practices on Regulations and Industry Initiatives, Virtualization, Power Management, Materials Recycling and Telecommuting” p.202
  5. F.C.H. Lin, R.M. Keller, "The Gradient Model Load Balancing Method," IEEE Transactions on Software Engineering, vol. 13, no. 1, pp. 32-38, Jan. 1987, doi:10.1109/TSE.1987.232563
  6. Jim Farley, “Java Distributed Computing”, O'Reilly Media
  7. Georges Da Costa, Jean-Patrick Gelas, Yiannis Georgiou, Laurent Lefevre, Anne-Cecile Orgerie, Jean-Marc Pierson, Olivier Richard, Kamal Sharma, "The GREEN-NET framework: Energy efficiency in large scale distributed systems," ipdps, pp.1-8, 2009 IEEE International Symposium on Parallel & Distributed Processing, 2009
Index Terms

Computer Science
Information Sciences

Keywords

Green Computing Threshold Distributed Computing Power Consumption Power saving modes

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