DSCTS: Dynamic Stochastic Cloud Task Scheduling

Utilization of resources is an important issue in cloud computing which can be achieved by load balancing over virtual machines. In this paper, a dynamic stochastic cloud task scheduling (DSCTS) method is proposed to balance the workload among virtual machines. This method selects a base task, and the machines that can do it are filtered. Then, based on probability theory, the most suitable virtual machine will be selected to perform the task. Finally, more similar machines are chosen for processing other tasks. The results show that the presented method in this paper improves the utilization of the cloud systems by balancing the distribution of workload among the cloud resources.