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An Optimizing Technique based on Genetic Algorithm for Power Management in Heterogeneous Multi-Tier Web Clusters

by Pankaj Goyal, Nirmal Kaur
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 17
Year of Publication: 2015
Authors: Pankaj Goyal, Nirmal Kaur
10.5120/20243-2598

Pankaj Goyal, Nirmal Kaur . An Optimizing Technique based on Genetic Algorithm for Power Management in Heterogeneous Multi-Tier Web Clusters. International Journal of Computer Applications. 115, 17 ( April 2015), 26-31. DOI=10.5120/20243-2598

@article{ 10.5120/20243-2598,
author = { Pankaj Goyal, Nirmal Kaur },
title = { An Optimizing Technique based on Genetic Algorithm for Power Management in Heterogeneous Multi-Tier Web Clusters },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 17 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 26-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume115/number17/20243-2598/ },
doi = { 10.5120/20243-2598 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:55:05.989562+05:30
%A Pankaj Goyal
%A Nirmal Kaur
%T An Optimizing Technique based on Genetic Algorithm for Power Management in Heterogeneous Multi-Tier Web Clusters
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 17
%P 26-31
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The most serious drawback nowadays is the power management because the web applications are becoming more sophisticated and their processing power is gradually increasing. Current cluster are designed to handle peak loads, where all servers are equally utilized. In practice, peak load conditions barely happen and clusters are most of the time underutilized. This paper aims to optimize the performance (in terms of execution time) of a multi-tier system and decrease the power consumption of the servers. To achieve these objectives, an Energy Optimizing Genetic Algorithm (EOGA) technique is applied on a three-tier web cluster system. This technique has proved to be successful in decreasing the power consumption and increasing the performance of the system.

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Index Terms

Computer Science
Information Sciences

Keywords

Genetic algorithm Heterogeneous Multi-tier cluster Power Server.

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