Artificial Intelligence Review

, Volume 24, Issue 3, pp 415–429

Framework for Task Scheduling in Heterogeneous Distributed Computing Using Genetic Algorithms

Article

DOI: 10.1007/s10462-005-9002-x

Cite this article as:
Page, A.J. & Naughton, T.J. Artif Intell Rev (2005) 24: 415. doi:10.1007/s10462-005-9002-x

Abstract

An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous processors in a distributed system. The scheduler operates in an environment with dynamically changing resources and adapts to variable system resources. It operates in a batch fashion and utilises a genetic algorithm to minimise the total execution time. We have compared our scheduler to six other schedulers, three batch-mode and three immediate-mode schedulers. Experiments show that the algorithm outperforms each of the others and can achieve near optimal efficiency, with up to 100,000 tasks being scheduled

Keywords

distributed computinggenetic algorithmstask scheduling

Copyright information

© Springer 2005

Authors and Affiliations

  1. 1.Department of Computer ScienceNational University of IrelandMaynoothIreland