International Journal of the Computer, the Internet and Management (IJCIM)
The problem of task assignment in heterogeneous computing systems has been studied for many years with many variations. The authors have developed a new hybrid approximation algorithm and also a parallel version of Particle Swarm Optimization to solve the task assignment problem. The proposed hybrid heuristic model involves Particle Swarm Optimization (PSO) Algorithm and Simulated Annealing (SA) algorithm. This PSO/SA performs static allocation of tasks in a heterogeneous distributed computing system in a manner that is designed to minimize the cost. Particle Swarm Optimization (PSO) with dynamically reducing inertia is implemented which yields better result than fixed inertia.