Efficient Task Allocation for Cloud Using Bat Algorithm

Abstract

Cloud computing is the shared pool of heterogeneous computing, storage, and network resources across the globe. The resources are allocated to cloud users using a service level agreement. The resources are accessed by the end-users based on pricing models. In such scenario placement and management of resources over cloud datacenters is a critical issue. Task allocation in cloud places an important role in the performance of cloud and manage utilization of resource and performance of tasks. There exist various static and dynamic algorithm to solve this issue. In this work a Bat Algorithm inspired task allocation algorithm for cloud infrastructure is proposed to improve the performance of cloud in term of execution time and start time as compared to existing algorithms.