A Genetic Algorithm based task scheduling procedure for Cost-Efficient Cloud Data Centers

Abstract

In the current situation, Cloud computing cut itself as a developing innovation which empowers the association to use equipment, programming and applications with no forthright expense over the internet space. The main provocation for the cloud provider is the means of providing productively and adequately the hidden computing assets like virtual machines, arrange, capacity units, and transmission capacity and so forth ought to be overseen with the goal that no computing gadget is in under-usage or over-use state in a unique domain. A decent task scheduling method is constantly required for the dynamic assignment of the task to evade such a circumstance. Through this paper we are going to introduce the Genetic Algorithm based task scheduling procedure, which will disperse the heap adequately among the virtual machine so the general reaction time (QoS) ought to be insignificant. An examination of this Genetic Algorithm based task scheduling procedure is performed on CloudSim test system which shows that, this will beat the current strategies like Greedy based, First-Come first-Serve (FCFS) methods.