CFP last date
21 October 2024
Reseach Article

Impact of Algorithms on Green Computing

Published on October 2013 by Bhavana Narain, Sanjay Kumar
International conference on Green Computing and Technology
Foundation of Computer Science USA
ICGCT - Number 3
October 2013
Authors: Bhavana Narain, Sanjay Kumar
7db7baf2-6600-4b0a-870a-b62f59e57f8a

Bhavana Narain, Sanjay Kumar . Impact of Algorithms on Green Computing. International conference on Green Computing and Technology. ICGCT, 3 (October 2013), 15-17.

@article{
author = { Bhavana Narain, Sanjay Kumar },
title = { Impact of Algorithms on Green Computing },
journal = { International conference on Green Computing and Technology },
issue_date = { October 2013 },
volume = { ICGCT },
number = { 3 },
month = { October },
year = { 2013 },
issn = 0975-8887,
pages = { 15-17 },
numpages = 3,
url = { /proceedings/icgct/number3/13697-1325/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International conference on Green Computing and Technology
%A Bhavana Narain
%A Sanjay Kumar
%T Impact of Algorithms on Green Computing
%J International conference on Green Computing and Technology
%@ 0975-8887
%V ICGCT
%N 3
%P 15-17
%D 2013
%I International Journal of Computer Applications
Abstract

In computer science, the analysis of algorithms is the determination of the number of resources (such as time and storage) necessary to execute them. Most algorithms are designed to work with inputs of arbitrary length. Usually the efficiency or running time of an algorithm is stated as a function relating the input length to the number of steps (time complexity) or storage locations (space complexity). As the efficiency of algorithm increases number of steps involved in computation and storage requirement will reduce both of these will result in saving of electrical power and hence will contribute to green computing. In this paper various algorithms are discussed which can help in power saving and therefore will contribute to green computing. In this paper we have reviewed various algorithms for computing energy consumption on green computing.

References
  1. "Worldwide electricity used in data centers". Iop. org. Retrieved 2011-12- 14.
  2. "Rechnology News: Green Tech: Harvard Physicist Sets ecord Straight on Internet Carbon Study". Technewsworld. com. Retrieved 2011-12-14T.
  3. "About Us". Green Touch. Retrieved 2011-12-14.
  4. "Innovators: Efficiency Matters - March April 2007 - Sierra Magazine". Sierra Club. Retrieved 2011-12-14.
  5. www. cs. bris. ac. uk/~dave/iee. pdf
  6. msdn. microsoft. com/en-us/library/ms973852
  7. msdn. microsoft. com/en-us/library/ff647790. aspx
  8. www. dotnetperls. com/optimization
  9. Fagone, Jason(2010-11-29). "Teen Mathletes Do Battle at Algorithm Olympics".
  10. Alonso, Pedro, "Improving power efficiency of dense linear algebra algorithms on multi-core processors via slack control", IC on High Performance Computing and Simulation (HPCS), 2011,PP 463- 470.
  11. Krongold, Brian Scott, "Computationally efficient optimal power allocation algorithms for multicarrier communication systems", Communications, IEEE Transactions on Jan 2000, pp 23-27.
  12. Jianli zhuo and chaitali chakrabarti "Energy-Ef?cient Dynamic Task Scheduling Algorithms for DVS Systems", ACM Journal Name, Vol. V, No. N, Month 20YY, Pages 1– 22.
  13. Tomoya Enokido, Ailixier Aikebaier, Makoto Takizawa,"Computation and Transmission Rate Based Algorithm for Reducing the Total Power Consumption", Journal of Wireless Mobile Networks, Ubiquitous Computing ,and Dependable Applications, volume: 2, number: 2, pp. 1-18.
Index Terms

Computer Science
Information Sciences

Keywords

Green Computing Algorithm