Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30758
Grouping-Based Job Scheduling Model In Grid Computing

Authors: Vishnu Kant Soni, Raksha Sharma, Manoj Kumar Mishra


Grid computing is a high performance computing environment to solve larger scale computational applications. Grid computing contains resource management, job scheduling, security problems, information management and so on. Job scheduling is a fundamental and important issue in achieving high performance in grid computing systems. However, it is a big challenge to design an efficient scheduler and its implementation. In Grid Computing, there is a need of further improvement in Job Scheduling algorithm to schedule the light-weight or small jobs into a coarse-grained or group of jobs, which will reduce the communication time, processing time and enhance resource utilization. This Grouping strategy considers the processing power, memory-size and bandwidth requirements of each job to realize the real grid system. The experimental results demonstrate that the proposed scheduling algorithm efficiently reduces the processing time of jobs in comparison to others.

Keywords: Grid Computing, Job grouping and Jobscheduling

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1590


[1] I. Foster and C. Kesselman, The Grid: Blueprint for a New Computing Infrastructure, Morgan-Kaufmann, 1998.
[2] I. Foster, C. Kesselman and S. Tuecke, "The Anatomy of the Grid: Enabling Scalable Virtual Organizations", International Journal of Supercomputer Applications, Vol. 15, No. 3, 2001.
[3] Berman, F., Fox, G. and Hey, A.: Grid Computing Making the Global Infrastructure a Reality. London,Wiley, 2003.
[4] Foster, I. and Kesselman, C. Computation Grids. Foster, I. and Kesselman, C. eds. The Grid: Blueprint for a New Computing Infrastructure, Morgan Kaufmann, 1999, 2-48.
[5] Ian Foster and Carl Kesselman, "The Grid: Blueprint for a New Computing Infrastructure," Elsevier Inc., Singapore, Second Edition, 2004.
[6] N. Muthuvelu, Junyan Liu, N.L.Soe, S.venugopal, A.Sulistio, and R.Buyya, "A dynamic job grouping-based scheduling for deploying applications with fine-grained tasks on global grids," in Proc of Australasian workshop on grid computing, vol. 4, pp. 41-48, 2005.
[7] Ng Wai Keat, Ang Tan Fong, "SCHEDULING FRAMEWORK FOR BANDWIDTH-AWARE JOB GROUPING-BASED SCHEDULING IN GRID COMPUTING", Malaysian Journal of Computer Science, Vol. 19, No. 2, pp. 117-126, 2006.
[8] T.F Ang, W.K.Ng, T.C Ling, "A Bandwidth-Aware Job Grouping- Based Scheduling on Grid Environment", Information Technology Journal, Vol .8, NO.3, pp. 372-377, 2009.
[9] Quan Liu, Yeqing Liao, "Grouping-based Fine-grained Job Scheduling in Grid Computing", IEEE First International Workshop on Educational technology And Computer Science, Vol.1, pp. 556-559, 2009.
[10] Buyya, R. and M. Murshed, 2002. GridSim: A toolkit for the modeling and simulation of distributed management and scheduling for grid computing. Concurrency COmput: Practice Exp., 14: 1175-1220.