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Reseach Article

Power Aware Computing Survey

by Hesham Hassan, Ahmed Shawky Moussa
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 90 - Number 3
Year of Publication: 2014
Authors: Hesham Hassan, Ahmed Shawky Moussa
10.5120/15555-4256

Hesham Hassan, Ahmed Shawky Moussa . Power Aware Computing Survey. International Journal of Computer Applications. 90, 3 ( March 2014), 21-26. DOI=10.5120/15555-4256

@article{ 10.5120/15555-4256,
author = { Hesham Hassan, Ahmed Shawky Moussa },
title = { Power Aware Computing Survey },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 90 },
number = { 3 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 21-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume90/number3/15555-4256/ },
doi = { 10.5120/15555-4256 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:10:08.075180+05:30
%A Hesham Hassan
%A Ahmed Shawky Moussa
%T Power Aware Computing Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 90
%N 3
%P 21-26
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Power-aware computing has caught the interest of researchers and users of all computing systems. In embedded systems and small devices, better management of energy translates into longer lasting and smaller batteries, which in turn implies smaller and lighter devices. In cloud, distributed, and high performance computing systems, better management of power translates into saving a significant amount of money and natural resources. This paper surveys the different power-aware computing approaches and techniques, focusing mostly on software approaches. It also introduces power-aware computing and why it is very important these days. The paper discusses the ways and challenges of measuring the energy consumption of systems and devices.

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Index Terms

Computer Science
Information Sciences

Keywords

Power-aware computing power-aware algorithms energy consumption power-aware compilers power-aware cloud computing power-aware high performance computing measurement tools.