Fuzzy Based Ant Colony Optimization Scheduling in Cloud Computing

Cloud computing is an Information Technology deployment model established on virtualization. Task scheduling states the set of rules for task allocations to exact virtual machine in cloud environment. However, challenges such as optimal performance solutions, are addressed computing. First, due improved by proposing a Dynamic Weighted Round-Robin algorithm. This recommended DWRR algorithm improves considering resource competencies, priorities, and length. Second, heuristic called Hybrid Particle Swarm Parallel Ant Colony Optimization proposed solve execution delay problem based scheduling. In end, fuzzy logic system designed HPSPACO that expands A method inertia weight update PSO pheromone trails PACO. Thus, Fuzzy achieves minimizing waiting time, throughput, maximizing utilization.