Gang scheduling in a two-cluster system with critical sporadic jobs and migrations
SPECTS'09 Proceedings of the 12th international conference on Symposium on Performance Evaluation of Computer & Telecommunication Systems
Multi-Site Allocation Policies on a Grid and Local Level
Electronic Notes in Theoretical Computer Science (ENTCS)
Performance evaluation of bag of gangs scheduling in a heterogeneous distributed system
Journal of Systems and Software
Evaluation of gang scheduling performance and cost in a cloud computing system
The Journal of Supercomputing
The Journal of Supercomputing
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Gang scheduling is considered to be a highly effective task scheduling policy for distributed systems. In this paper we present a migration scheme which reduces the fragmentation in the schedule caused by gang scheduled jobs which cannot start. Furthermore, the existence of high priority jobs in the workload is addressed by the proposed strategy. High priority jobs need to be started immediately, which can in turn lead to the interruption of a parallel job's execution. A distributed system consisting of two homogeneous clusters is simulated to evaluate the performance. Our simulation results indicate that the proposed strategy can result in a performance boost.