Bacteria foraging based task scheduling algorithm in cloud computing environment

Abstract

Cloud computing is a distributed system which gives the facilities of resource sharing and coordinates over different topographical areas. Because of its dynamic and heterogeneous nature of the virtual machine, the virtual machine scheduling is a complicated job in cloud computing. In recent past, bacterial foraging has come into views as a worldwide maximization algorithm for control and optimization. For cloud resource scheduling we propose an optimization technique for bacterial foraging. Effectively scheduling the tasks on an available physical machine in a cloud environment a unique resource scheduling hyper-heuristic based improved bacteria foraging algorithm (IBFA) has been proposed. Proposed scheduling algorithms performance is evaluated CloudSim toolkit and compared with existing algorithms. The exploratory results demonstrate that the proposed algorithms outplay the developed algorithm by reducing makespan and expense of client applications submitted to the cloud.