CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Comparative Analysis of Job grouping based Scheduling Strategies in Grid Computing

by Simrat Kaur, Sarbjeet Singh
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 43 - Number 15
Year of Publication: 2012
Authors: Simrat Kaur, Sarbjeet Singh
10.5120/6181-8611

Simrat Kaur, Sarbjeet Singh . Comparative Analysis of Job grouping based Scheduling Strategies in Grid Computing. International Journal of Computer Applications. 43, 15 ( April 2012), 28-35. DOI=10.5120/6181-8611

@article{ 10.5120/6181-8611,
author = { Simrat Kaur, Sarbjeet Singh },
title = { Comparative Analysis of Job grouping based Scheduling Strategies in Grid Computing },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 43 },
number = { 15 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 28-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume43/number15/6181-8611/ },
doi = { 10.5120/6181-8611 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:33:30.954299+05:30
%A Simrat Kaur
%A Sarbjeet Singh
%T Comparative Analysis of Job grouping based Scheduling Strategies in Grid Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 43
%N 15
%P 28-35
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Grid computing is a form of distributed computing that provides a platform for executing large-scale resource intensive applications on a number of heterogeneous computing systems across multiple administrative domains. Therefore, Grid platforms enable sharing, exchange, discovery, selection, and aggregation of distributed heterogeneous resources such as computers, databases and visualization devices. Job and resource scheduling is one of the key research area in grid computing. In a grid computing environment, a scheduler is responsible for selecting the best suitable computing resources in the grid for processing jobs to achieve high system throughput. Further, grouping the fine grained jobs according to the processing capability of available resources results in better throughput, resource utilization and low communication time. Motivation of this study is to encourage and help the amateur researcher in the field of grid computing, so that they can understand easily the concept of scheduling, job grouping and can contribute in developing more efficient and practical scheduling algorithm. In this paper, we compared three job grouping based scheduling algorithms that will benefit interested researchers to carry out further work in this thrust area of research.

References
  1. Foster and C. Kesselman, "The Grid: Blueprint for a Future Computing Infrastructure" Morgan Kaufmann Publishers,San Francisco, CA, USA, 1999.
  2. I. Foster, C. Kesselman, S. Tuecke, "The Anatomy of Grid: Enabling Scalable Virtual Organizations", International Journal of Supercomputer Applications, 2001.
  3. Mark Baker, Rajkumar Buyya, and Domenico Laforenza, "Grids and Grid technologies for Wide-Area Distributed Computing", Software - Practice and Experience – SPE , vol. 32, no. 15, pp. 1437-1466, 2002
  4. Berman, F. , Fox, G. and Hey, A. ," Grid Computing– Making the Global Infrastructure a Reality" London,Wiley,2003.
  5. Buyya, R. , Date, S. , Miizuno-Matsumoto, Y. , Venogopal, S. and Abramson, D. , "Neuroscience Instrumentation and Distributed Analysis of Brain Activity Data: A case for eScience on Global Grids", Journal of Concurrency and Computation: Practice and Experience. Vol 17, No. 15, pp. 1783-1798 ,2004.
  6. V. Rajendran,G. Sudha Sadasivam, "An Efficient Approach to Task Scheduling in Computational Grids", International Journal of Computer Science and Application, vol. 6, No. 1, pp. 53-69, 2009.
  7. . Muthuvelu. N, Liu. J, Lin Soe. N, Venugopal. S, Sulistio. A and Buyya. R, 2005, "A Dynamic Job Grouping-Based Scheduling for Deploying Applications with Fine-Grained Tasks on Global Grids", in Proceedings of Australasian Workshop on Grid Computing and e-Research (AusGrid2005), , pp. 41-48,2005.
  8. . Ng. W. K, Ang. T. F, Ling. T. C, and Liew. C. S, "Scheduling Framework for Bandwidth-Aware Job Grouping-based Scheduling in Grid Computing", Malaysian Journal of Computer Science, Vol. 19, pp. 117-126,2006.
  9. . T. F. Ang, W. K. Ng, "A Bandwidth-Aware Job Scheduling-Based Scheduling on Grid Computing", Asian Network for Scientific Information, vol. 8, No. 3, pp. 372-277, 2009.
  10. Quan Liu, Yeqing Liao, "Grouping-Based Fine-grained Job Scheduling in Grid Computing", IEEE First International Workshop on Education Technology and Computer Science, vol. 1, pp. 556-559, 2009.
  11. M. K. Mishra,V. K. Soni,R. Sharma,Sarita Das,"Constraint-Based Job and Resource scheduling in Grid Computing" ,3rd International Conference On Computer Science and Information Technology,IEEE,2010.
  12. M. K. Mishra,V. K. Soni,R. Sharma, B. R. Parida, R. K. Das,"A Memory-Aware Dynamic Job Scheduling Model in Grid Computing" , International Conference On Computer Design And Appliations,IEEE,2010.
  13. M. K. Mishra,V. K. Soni,R. Sharma, "An Improved Resource Scheduling Approach Using Job Grouping strategy in Grid Computing", International Conference on Educational and Network Technology,IEEE,2010.
  14. S. Selvarani, G. Sudha Sadhasivam "Improved Job-Grouping Based PSO Algorithm For Task Scheduling In Grid Computing", International Journal of Engineering Science and TechnologyVol. 2(9), 2010.
  15. R. Buyya and M. Murshed, "GridSim; A toolkit for the modeling and simulation of distributed management and scheduling for grid computing", Concurrency and Computation: Practice and Experience , Volume 14, Issue 13-15,2002.
Index Terms

Computer Science
Information Sciences

Keywords

Grid Computing Job Scheduling Job Grouping

Powered by PhDFocusTM