期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2011
卷号：2
期号：3(Version 2)
出版社：Ayushmaan Technologies
摘要：The heterogeneous computing systems, which consists of a heterogeneous suite of processors or machines that having different processing capacities, are constructed and performanceto- cost efficient. Task assignment is a key factor in heterogeneous computing systems that have been studied for many years with many variations. Particle swarm optimization is a recently developed population based heuristic optimization technique. The hybrid heuristic model involves Particle swarm optimization (PSO) algorithm and Simulated annealing (SA) algorithm. The PSO/SA algorithm has been developed to dynamically schedule heterogeneous tasks on to a heterogeneous processor in a distributed setup. PSO with dynamically reducing inertia is implemented which yields better result than fixed inertia.
