An Integrated Technique for Task Matching and Scheduling onto Distributed Heterogeneous Computing Systems

Abstract

This paper presents a problem-space genetic algorithm (PSGA)-based technique for efficient matching and scheduling of an application program that can be represented by a directed acyclic graph, onto a mixed-machine distributed heterogeneous computing (DHC) system. PSGA is an evolutionary technique that combines the search capability of genetic algorithms… (More)
DOI: 10.1006/jpdc.2002.1850

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@article{Dhodhi2002AnIT, title={An Integrated Technique for Task Matching and Scheduling onto Distributed Heterogeneous Computing Systems}, author={Muhammad K. Dhodhi and Imtiaz Ahmad and Anwar K. Al-Yatama and Ishfaq Ahmad}, journal={J. Parallel Distrib. Comput.}, year={2002}, volume={62}, pages={1338-1361} }