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Scheduling of tasks in multiprocessor system using hybrid genetic algorithms

By B. Varghese, M. Alamgir Hossain and Keshav P. Dahal

Abstract

This paper presents an investigation into the optimal scheduling of realtime\ud tasks of a multiprocessor system using hybrid genetic algorithms (GAs). A comparative\ud study of heuristic approaches such as `Earliest Deadline First (EDF)¿ and\ud `Shortest Computation Time First (SCTF)¿ and genetic algorithm is explored and\ud demonstrated. The results of the simulation study using MATLAB is presented and\ud discussed. Finally, conclusions are drawn from the results obtained that genetic algorithm\ud can be used for scheduling of real-time tasks to meet deadlines, in turn to obtain\ud high processor utilization

Topics: Optimal scheduling, Hard real-time tasks, Multiprocessor system, Heuristics, Genetic algorithms
Publisher: Springer Verlag
Year: 2007
OAI identifier: oai:bradscholars.brad.ac.uk:10454/2552
Provided by: Bradford Scholars

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