A Hybrid PSO Based Task Selection and Recommended System for Cloud Data

Abstract

Cloud computing is an essential computing environment to provide maximum availability of services to users and industry. On demand, various services are provided to the cloud users through the internet and these services are provided by cloud service providers. Task scheduling is most important in the cloud computing environment because the user has to pay for the resources based on the usage and the load is distributed among the available resources by maximizing the utilization time and reducing the task execution time. Many algorithms were proposed in literature to efficiently schedule the tasks, one such algorithm is Particle Swarm Optimization algorithm (PSO). To enhance the performance of PSO algorithm by optimizing task response time a hybrid PSO based task selection and recommended system has been proposed in this paper. Using CloudSim the results are compared with the existing algorithms. In comparison, the proposed algorithm is giving better results than the existing algorithms.