摘要
随着云计算技术的普及,用户规模的不断扩大,我国云计算中心的建设速度得到飞速发展,伴随其巨大的能耗消耗问题引发了广泛关注,同时云计算中心的资源利用率普遍不高。针对这一问题,提出了动态任务量的能耗优化算法,该算法能够根据高校云计算中心动态变化的任务量,及时调整服务器的运行状态,从而达到节约能耗的效果。通过仿真实验显示,该算法能够有效降低云计算机中心的能源消耗,降低其运营成本,特别是在低任务量时,节能效果较为明显。
With the popularization of cloud computing technology and the continuous expansion of user scale,the construction speed of cloud computing centers in China has been rapidly developed.At the same time,its huge energy consumption has aroused widespread concern.At the same time,the resource utilization rate of computing centers is generally low.To solve this problem,this paper proposes an energy consumption optimization algorithm for dynamic task volume,which can adjust the running state of the server in time according to the dynamic task volume of the computing center,thus achieving the effect of energy saving.Simulation experiments show that this algorithm can effectively reduce the energy consumption of cloud computing centers and reduce their operating costs,especially when the task load is low,the energy-saving effect is relatively obvious.
作者
杜召彬
李廷锋
DU Zhao-bin;LI Ting-feng(Zhengzhou Vocational and Technical College,Zhengzhou 450121,Henan)
出处
《电脑与电信》
2023年第6期57-61,共5页
Computer & Telecommunication
基金
河南省高等学校重点科研项目,项目编号:23B520031,22B520053。
关键词
云计算
计算中心
能耗
cloud computing
compute center
energy consumption
