TY  - JOUR
AU  - Natarajan, Krishnamoorthy 
AU  - Ramasamy, Asokan 
AU  - Subramanian, Sangeetha 
PY  - 2014
TI  - QUANTITATIVE EVALUATION OF JOB AND RESOURCES FOR BETTER SELECTION TO IMPROVE MAKESPAN IN GRID SCHEDULING
JF  - Journal of Computer Science
VL  - 10
IS  - 5
DO  - 10.3844/jcssp.2014.774.782
UR  - https://thescipub.com/abstract/jcssp.2014.774.782
AB  - 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.