An enhanced scheduling strategy to accelerate the business performance of the cloud system

Abstract

The prime objective of any IT organization is to develop cost, time and resource effective products. In any organization, jobs arriving to the system at peak hours are normally high demanding efficient execution and dispatch of jobs. Cloud computing is an emerging technology, which enables one to accomplish aforementioned objective, leading towards improved business performance. The observations made by capturing a job arriving pattern from monitoring system indicates most of the jobs are rejected due to inefficient scheduling technique. This paper therefore introduces an enhanced scheduling strategy that incorporates prioritization of jobs based on criticality and business gain in the Round Robin task scheduling technique. Simulation results have shown an improved response time and processing time of jobs. Further, the number of jobs that get rejected has decreased despite of geographically dispersed users, datacenters or the processing units and thereby increasing the number of computation of tasks. © 2012 Springer-Verlag GmbH Berlin Heidelberg.