Efficient Task Scheduling Technique under Batch Mode Heuristic for Cloud Environment

Abstract

From solving complex computational problems to huge data intensive tasks, Cloud Computing is emerged as one the growing technology. It is not restricted to hand out gigantic problems but also gratifying day to day clients with variable requirements. To accomplish such a variety of users, Cloud always required an efficient task scheduling to cater such dynamism. So, this paper presents a scheduling technique named Efficient Task Scheduling technique under Batch Mode Heuristic for Cloud Environment (ETSBMH) that mapped cloudlets in an efficient way to reduce the makespan along with a new type of metric that depicts variation among heterogeneous virtual machines completion time. We named it Machine Makespan Aware Completion time Variation (MMACV) that considered completion time variation among machines with respect to makespan. Results reveal the effectiveness of proposed technique from on hand approaches in terms of reduced makespan, less MMACV and improved average machine utilization rate.