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Reseach Article

Performance Analysis of Adaptive Resource Clustering in Grid

by Ashish Chandak, Bibhudatta Sahoo, Ashok Kumar Turuk
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 29 - Number 9
Year of Publication: 2011
Authors: Ashish Chandak, Bibhudatta Sahoo, Ashok Kumar Turuk
10.5120/3588-4973

Ashish Chandak, Bibhudatta Sahoo, Ashok Kumar Turuk . Performance Analysis of Adaptive Resource Clustering in Grid. International Journal of Computer Applications. 29, 9 ( September 2011), 41-47. DOI=10.5120/3588-4973

@article{ 10.5120/3588-4973,
author = { Ashish Chandak, Bibhudatta Sahoo, Ashok Kumar Turuk },
title = { Performance Analysis of Adaptive Resource Clustering in Grid },
journal = { International Journal of Computer Applications },
issue_date = { September 2011 },
volume = { 29 },
number = { 9 },
month = { September },
year = { 2011 },
issn = { 0975-8887 },
pages = { 41-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume29/number9/3588-4973/ },
doi = { 10.5120/3588-4973 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:15:23.830868+05:30
%A Ashish Chandak
%A Bibhudatta Sahoo
%A Ashok Kumar Turuk
%T Performance Analysis of Adaptive Resource Clustering in Grid
%J International Journal of Computer Applications
%@ 0975-8887
%V 29
%N 9
%P 41-47
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A grid provides abundant resources to the grid users. Task scheduling is a fundamental issue in grid computing. The objective of task scheduling is to allocate required resources to user request. Grid application that requires fast task execution does not perform well since tasks are assigned according to node availability not according to node computing capability. In this paper, we discussed adaptive resource clustering architecture that virtually grouping same computing capability nodes based on the number and resource requirement of tasks so that task execution becomes faster. In this paper, we evaluate the performance of adaptive clustering with static and without clustering of resources and task are schedule by Max-Min, Min-Min, FCFS heuristics and simulation results shows that our architecture outperforms in makespan and success execution rate of tasks.

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Index Terms

Computer Science
Information Sciences

Keywords

Task Scheduling Adaptive Resource Clustering Task Clustering Success Execution Rate