Task Scheduling Algorithm in Cloud Computing based on Power Factor

A very efficient computing environment is provided by cloud computing where the customers or several tenants are in need of multiple resources to be provided as a service over the internet. The challenge before the cloud service provider is, how efficiently and effectively the underlying computing resources like virtual machines, network, storage units, and bandwidth etc. should be managed so that no computing device is in under-utilization or overutilization state in a dynamic environment. A good task scheduling technique is always required for the dynamic allocation of the task to avoid such a situation. Through this paper we are going to present the new Algorithm based on task scheduling technique, which will distribute the load effectively among the virtual machine so that the overall response time (QoS) should be minimal. A comparison of this proposed Algorithm of task scheduling technique is performed on CloudSim simulator which shows that, this will outperform the existing techniques like FCFS, SJF and Genetic Model techniques.