QoS Analysis with Support over Energy Efficient and Cost based Workflow Scheduling Algorithms in Multi Cloud Environment

Abstract

Cloud computing provides tremendous infrastructure facility for the execution of scientific workflows and commercial applications by offering dynamic scalable, reliable and flexible computing platform. Almost all the scientific application is modeled as workflows. Dynamic scheduling workflow applications with the optimal cost and execution time driven environment is a challenging task. The important point to be considered for the execution of performance driven applications requires suitable scheduling algorithms with optimal resources with minimum execution time with specified Quality of Service (QoS). In this proposed work, a Cost Based Workflow Scheduling Algorithm (CBWS) and Energy Efficient Workflow Scheduling Algorithm (EEWS) are designed. The simulation results confirm that the proposed scheduling algorithm outperforms the related well-known scheduling approaches. Further, the performance comparison demonstrates its performance superiority over the existing methods.