关键词: 云计算, 能耗优化, 任务调度, 任务截止时间

Abstract: The energy consumption of servers produced in tasks executing is an important part of system dynamic energy in cloud computing system. In order to lower the total task execution energy consumption of system, this paper presents a task scheduling method based on energy optimization with the earliest task completion time, builds the dynamic power computing model of server, energy model based on dynamic power of servers, and the energy optimization model of cloud computing system. The proposed method uses different scheduling algorithms to get less task execution energy according to the deadline of task and the execution energy on each server. Experimental results show that this scheduling policy can better meet the deadline of task, and reduce the total energy of cloud computing system considerably.

Key words: cloud computing, energy optimization, task scheduling, task deadline