Performance evaluation of bag of gangs scheduling in a heterogeneous distributed system
Journal of Systems and Software
Scheduling of frequently communicating tasks
International Journal of Communication Systems
The Journal of Supercomputing
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Gang scheduling is considered to be a highly effective task scheduling policy for distributed systems. Gangs are jobs which consist of a number of interacting tasks which are scheduled to run simultaneously on distinct processors. Simulation experiments are conducted to address performance issues which concern the impact of the variability in gangs’ degree of parallelism in the case of implemented migrations. A simulation model consisting of two sites is used to provide results on the performance of the system.