Enhanced Crow Search Algorithm for Task Scheduling in Cloud Computing

Abstract

The task scheduling in the cloud computing environment seems to be the most noteworthy problem. It is the important move to enhance the cloud performance and efficiency. The nature inspired algorithms are applied to perform the scheduling in cloud. The Crow Search Algorithm (CSA) is used to assign the task to Virtual Machine (VM). In the CSA the random selection of task is used which may downgrade the performance of cloud. The random task selection is improved with task selection and VM selection algorithms. The improved version of CSA is called as Enhanced CSA (ECSA). The performance of ECSA compared with CSA and Max-Min algorithm.