Hybridization of Harmony and Cuckoo Search for Managing the Task Scheduling in Cloud Environment

Abstract

Cloud computing plays a vital role in gathering the physical and virtual resources given to the client on-demand and on a pay as per uses basis using the internet. In today’s world, cloud computing has been considered as the best concept for the virtualization of various resources. There are various approaches that have been available for improvising the load balancing and also to improvise the job scheduling in the concept of cloud. But there are two most important thing in cloud computing, that is, task scheduling and allocation of resources. So, to achieve better performance of resources, task scheduling and allocation of resources must be organized in a more optimized way and hence cloud computing provides great performance in less maintenance cost. In this paper, cuckoo search and harmony search is hybrid and proposed cuckoo harmony search algorithm (CHSA) for enhancing the scheduling process and make it more optimized. As per proposed CHSA, a new hybrid function is developed based on cost, memory, energy consumption, credit, and penalty and the proposed algorithm is compared with cuckoo search and harmony search on all these parameters. After the analysis of proposed CHSA, comparing to cuckoo search and harmony search, it has been find out that, it attains minimum cost, memory usage, energy consumption, penalty, and maximum credit.