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Energy-aware and Performance-aware of Workflow Application with Hybrid Scheduling Algorithm on Cloud Computing

Energy consumption and scheduling performance are the important issues for improving task scheduling algorithm of executing cloud application in the data center. In this work, we proposed a scheduling algorithm that achieves both performance and energy efficiency, it called GAEHFET. The objective of the proposed algorithm is to reduce the energy consumption while achieving the completion time efficiently. The algorithm adopted the ratio of effectiveness that identifies and turns off the set of inefficient processors execution to reduce energy consumption. Then, the application is rescheduled only the set of efficient processors to achieve both objectives. The experimental results from the simulation using real-world application workload shows that the proposed algorithm not only reduces the energy consumption but also maintains an acceptable scheduling quality. Thus, the proposed algorithm can be employed to substantially schedule cloud application in a large computing system.