Journal of Computer Science

QUANTITATIVE EVALUATION OF JOB AND RESOURCES FOR BETTER SELECTION TO IMPROVE MAKESPAN IN GRID SCHEDULING

Krishnamoorthy Natarajan, Asokan Ramasamy and Sangeetha Subramanian

DOI : 10.3844/jcssp.2014.774.782

Journal of Computer Science

Volume 10, Issue 5

Pages 774-782

Abstract

This study presents the Priority based ranking of jobs and resources to improve the Makespan in the grid scheduling problem. Grid environment’s effectiveness largely depends on scheduler’s effectiveness/efficiency as they act as local resource brokers. The scheduler is responsible to select resources/scheduling jobs so that users/application requirements are met regarding overall execution time (throughput) and the resources use cost. The scheduler selects resources that suit user imposed constraints/conditions like CPU usage, RAM available/disk storage. Resource/Jobs are selected using WPR algorithm which improves in performance like Makespan. Results are compared with Round Robin/Weighted Round Robin algorithms where the proposed method has better performance.

Copyright

© 2014 Krishnamoorthy Natarajan, Asokan Ramasamy and Sangeetha Subramanian. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.