GRID SCHEDULING USING ENHANCED PSO ALGORITHM

摘要: Grid computing is a high performance environment to solve larger scale computational demands. contains resource management, task scheduling, security problems, information management and so on. Task scheduling fundamental issue in achieving grid systems. A GRID typically heterogeneous the sense that it combines clusters of varying sizes, different processing elements with level performance. In this, heuristic approach based on particle swarm optimization algorithm adopted for solving problem environment. Particle Swarm Optimization (PSO) one latest evolutionary techniques by nature. It has better ability global searching been successfully applied many areas such as, neural network training etc. Due linear decreasing inertia weight PSO convergence rate becomes faster, which leads minimal makespan time when used scheduling. To make improved modifying parameter, produces gives an optimized result. Keyword : Inertia, position updation, velocity, computing.