Performance-Effective and Low-Complexity Task Scheduling for Heterogeneous Computing
IEEE Transactions on Parallel and Distributed Systems
Automation and Remote Control
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In order to minimize in a nonuniform multiprocessor computer system the time of execution of each particular set of user-defined tasks having random execution times, the methodology of mathematical forecasting of the execution times of complex sets of interrelated tasks was used for the first time to examine the problem of formal estimation and choice of a criterion (discipline) from their predefined set for dynamic scheduling of tasks to the processors of nonuniform multiprocessor computer systems.