alexa Effectual Multiprocessor Scheduling Based on Stochastic Optimization Technique
ISSN ONLINE(2319-8753)PRINT(2347-6710)

International Journal of Innovative Research in Science, Engineering and Technology
Open Access

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Special Issue Article

Effectual Multiprocessor Scheduling Based on Stochastic Optimization Technique

 
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Abstract

The problem of task assignment in heterogeneous computing systems has been studied for many years with many variations. PSO [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.

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