Effectual Multiprocessor Scheduling based on Stochastic Optimization Technique

Provided by: International Journal of Innovative Research in Science, Engineering and Technology (IJIRSET)
Topic: Hardware
Format: PDF
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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