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A SOA-based Resource Intensive and Data Aware (RIADA) Approach for Grid Computing

by Humera Bashir, Sadiq Ali Khan, Shaista Rais
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 108 - Number 10
Year of Publication: 2014
Authors: Humera Bashir, Sadiq Ali Khan, Shaista Rais
10.5120/18949-0080

Humera Bashir, Sadiq Ali Khan, Shaista Rais . A SOA-based Resource Intensive and Data Aware (RIADA) Approach for Grid Computing. International Journal of Computer Applications. 108, 10 ( December 2014), 25-30. DOI=10.5120/18949-0080

@article{ 10.5120/18949-0080,
author = { Humera Bashir, Sadiq Ali Khan, Shaista Rais },
title = { A SOA-based Resource Intensive and Data Aware (RIADA) Approach for Grid Computing },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 108 },
number = { 10 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 25-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume108/number10/18949-0080/ },
doi = { 10.5120/18949-0080 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:42:39.043848+05:30
%A Humera Bashir
%A Sadiq Ali Khan
%A Shaista Rais
%T A SOA-based Resource Intensive and Data Aware (RIADA) Approach for Grid Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 108
%N 10
%P 25-30
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The Grid technology is flowing into large scale service oriented architecture-- a universal podium for delivering future high demand computational services. The management of resources and requests scheduling in this big range distributed environment is a complicated job, no contemplation may result in efficiency deprivation in a Grid environment and may possibly bring about big handling queues and task running delays. This paper outlines a simple and straight forward approach to incrementally maintain the area of Grid technology addressing challenges related to the problem of maintaining a Grid wide view of Grid user's resource utilization. To remain flexible this paper presents a SOA- Based RIADA (Resource Intensive and Data Aware) approach for providing a basis for more efficient and user friendlier management of resources and resource scheduling techniques in a future Grid offering a rich blend of diverse applications.

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Index Terms

Computer Science
Information Sciences

Keywords

Grid technology Data Intensive Scheduling Techniques Resources Management

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