Green task scheduling policies on cloud computing

WANG Yonggui1, ZHANG Wei2, HAN Ruilian2

1. 1.College of Software Engineering, Liaoning Technical University, Huludao, Liaoning 125105, China
2.College of Electronics and Information Engineering, Liaoning Technical University, Huludao, Liaoning 125105, China
• Online:2012-12-01 Published:2012-11-30

云环境下绿色任务调度策略

1. 1.辽宁工程技术大学 软件学院，辽宁 葫芦岛 125105
2.辽宁工程技术大学 电子与信息工程学院，辽宁 葫芦岛 125105

Abstract: For the problem of energy consumption in Cloud Computing data centers, this paper puts forward the theory of Green Cloud Computing and designs a green cloud system architecture. Based on the green cloud system architecture, the energy is considered as system resources to achieve resource allocation. Three green task scheduling algorithms are proposed and respectively named as the STF-OS, LTF-OS and RT-OS algorithm. The feasibility analysis of three algorithms is made with the relevant theory and shows that three algorithms can effectively reduce energy consumption. The simulation is set on the CloudSim by extending Cloud Computing platform. The results show that the STF-OS algorithm has the most optimal ability of the reducing energy consumption of data center.