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A Review on Resource Scheduling Models to Optimize Quality of Service Parameters in Grid Computing using Meta-heuristics

by Dinesh Prasad Sahu, Karan Singh, Shiv Prakash
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 114 - Number 8
Year of Publication: 2015
Authors: Dinesh Prasad Sahu, Karan Singh, Shiv Prakash
10.5120/19995-1741

Dinesh Prasad Sahu, Karan Singh, Shiv Prakash . A Review on Resource Scheduling Models to Optimize Quality of Service Parameters in Grid Computing using Meta-heuristics. International Journal of Computer Applications. 114, 8 ( March 2015), 1-4. DOI=10.5120/19995-1741

@article{ 10.5120/19995-1741,
author = { Dinesh Prasad Sahu, Karan Singh, Shiv Prakash },
title = { A Review on Resource Scheduling Models to Optimize Quality of Service Parameters in Grid Computing using Meta-heuristics },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 114 },
number = { 8 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume114/number8/19995-1741/ },
doi = { 10.5120/19995-1741 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:52:08.856216+05:30
%A Dinesh Prasad Sahu
%A Karan Singh
%A Shiv Prakash
%T A Review on Resource Scheduling Models to Optimize Quality of Service Parameters in Grid Computing using Meta-heuristics
%J International Journal of Computer Applications
%@ 0975-8887
%V 114
%N 8
%P 1-4
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Computational Grid (CG) is a wide network of computational resources that provides a distributed platform for high end compute intensive applications. The resources in the computational grid are usually heterogeneous and being a highly heterogeneous system, Computational Grid poses a number of constraints. It is difficult to allocate and schedule the applications properly to achieve the benefit of the grid resources from the applications point of view, as the resources are heterogeneous and dynamic in nature. There are no common scheduling strategies that fulfill all the needs with respect to both, user and the system. The available scheduling implementations consider specific characteristics of the available resources and the application. The complexity of application, user requirements and system heterogeneity prevents any scheduling procedure in achieving its best performance. The aim of a grid scheduling algorithm is to find an appropriate set of resources and maintain its user-demanded Quality of Service (QoS) requirements. Scheduling in CG is an NP-hard problem which requires an efficient solution. The problem, considered in this work, is task scheduling in Computational Grid (CG). Task scheduling in CG is a complex problem as many QoS parameters and system constraints are involved. This paper deliberates over the problem and various tools used in order to solve this problem.

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Index Terms

Computer Science
Information Sciences

Keywords

Scheduling Computational Grid QoS Parameters Meta-heuristics

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