A genetic algorithm inspired task scheduling in cloud computing

Abstract

In the current scenario, Cloud computing carved itself as an emerging technology which enables the organization to utilize hardware, software and applications without any upfront cost over the internet. The challenge before the cloud service provider is, how efficiently and effectively the underlying computing resources like virtual machines, network, storage units, and bandwidth etc. should be managed so that no computing device is in under-utilization or over-utilization state in a dynamic environment. A good task scheduling technique is always required for the dynamic allocation of the task to avoid such a situation. Through this paper we are going to present the Genetic Algorithm based task scheduling technique, which will distribute the load effectively among the virtual machine so that the overall response time (QoS) should be minimal. A comparison of this Genetic Algorithm based task scheduling technique is performed on CloudSim simulator which shows that, this will outperform the existing techniques like Greedy based, First — Come first — Serve (FCFS) techniques.