Research Article Open Access

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

Krishnamoorthy Natarajan1, Asokan Ramasamy1 and Sangeetha Subramanian1
  • 1 , India

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.

Journal of Computer Science
Volume 10 No. 5, 2014, 774-782

DOI: https://doi.org/10.3844/jcssp.2014.774.782

Submitted On: 6 December 2013 Published On: 4 January 2014

How to Cite: Natarajan, K., Ramasamy, A. & Subramanian, S. (2014). QUANTITATIVE EVALUATION OF JOB AND RESOURCES FOR BETTER SELECTION TO IMPROVE MAKESPAN IN GRID SCHEDULING. Journal of Computer Science, 10(5), 774-782. https://doi.org/10.3844/jcssp.2014.774.782

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Keywords

  • Priority
  • Selection
  • Ranking
  • Scheduling
  • Weighted Round Robin