Framework for task scheduling in heterogeneous distributed computing using genetic algorithms
Page, Andrew J. and Naughton, Thomas J. (2004) Framework for task scheduling in heterogeneous distributed computing using genetic algorithms. In: 15th Artificial Intelligence and Cognitive Science Conference, 2004, Castlebar, Co. Mayo, Ireland.
An algorithm has been developed to dynamically schedule heterogeneous tasks on to heterogeneous processors in a distributed system. The scheduling strategy operates in a dynamically changing computing resource environment and adapts to variable communication costs and variable availability of processing resources. The scheduler utilises a genetic algorithm to minimise the overall execution time. Experiments are performed which show that the algorithm can achieve near optimal efficiency, with up to 100,000 tasks being scheduled.
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