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A Comparative Study of Job Scheduling Strategies in Large-Scale Parallel Computational Systems
2013
2013 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications
With the advent of High Performance Computing (HPC) in the large-scale parallel computational environment, job scheduling and resource allocation techniques are required to deliver the Quality of Service (QoS) and resource management. Therefore, job scheduling on a large-scale parallel system has been studied to: (a) minimize the queue time and response time, and (b) maximize the overall system utilization. We compare and analyze thirteen job scheduling policies to analyze their behavior. The
doi:10.1109/trustcom.2013.116
dblp:conf/trustcom/ChandioXTBK13
fatcat:wekve6oixvbb3ajc7saj6feqte