Modified Particle Swarm Optimization Based on Aging Leaders and Challengers Model for Task Scheduling in Cloud Computing

In cloud computing, a shared, configurable pool of computing resources is made accessible online and allocated to users according their needs. It essential for provider schedule jobs in the keep up service quality boost system efficiency. this paper, we present scheduling technique based on modified particle swarm optimization combat issues excessively long time high computation costs associated with environment. The PSO used allocate virtual machines order minimize objective function consisting cost makespan. algorithm relies biological changes that occur organisms regulate premature convergence improve local search capability. analyzed simulated using CloudSim, simulation results demonstrate proposed approach decreases makespan effectively as compared standard PSO.