|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 108 - Issue 10 |
| Published: December 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 },
year = { 2014 },
volume = { 108 },
number = { 10 },
pages = { 25-30 },
doi = { 10.5120/18949-0080 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Humera Bashir
%A Sadiq Ali Khan
%A Shaista Rais
%T A SOA-based Resource Intensive and Data Aware (RIADA) Approach for Grid Computing%T
%J International Journal of Computer Applications
%V 108
%N 10
%P 25-30
%R 10.5120/18949-0080
%I Foundation of Computer Science (FCS), NY, USA
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.