Job scheduling algorithm in cloud environment considering the priority and cost of job

Abstract

Distribution of work load (job) among the virtual machine is one of the challenging issues in cloud environment. It is very difficult to predict the execution time of job in cloud computing. So Cloud job scheduler should be dynamic in nature and distribute the job among the virtual machine in such a manner, no virtual machine should be in overloaded or ideal condition. We proposed an algorithm considering the priority of jobs and cost of resource. Job priority and cost of resources is major issue to establish a cloud environment for enterprises. For better quality of service and utilization of resources IBA algorithm is suited for this purpose. Result shows that IBA minimize the idle time of resources but IBA does not provide the guarantee for handling job priority and cost of the resource. So there is a need of job scheduling algorithm that considers job priority and recourse cost. © Springer Nature Singapore Pte Ltd. 2017.