摘要
边缘计算在处理大量计算复杂的任务时,可能会引发任务实时执行效果下降以及能耗高等方面的问题。为此提出一种面向边云协同计算的能耗感知资源调度方法,首先根据实时保证率将任务分流到云计算和边缘计算,然后基于弹性资源特性提出能耗感知的资源调度策略,为实时任务生成虚拟资源配置方案,最后通过仿真实验验证了所提算法的有效性,该算法可以在保证实时性的前提下降低能耗。
An energy-aware resource scheduling method for edge-cloud collaborative computing is proposed to address the issues of degraded real-time execution performance and high energy consumption when processing computationally complex tasks in edge computing.First,tasks are assigned to cloud computing and edge computing according to the real-time guaranteed rate.Then,an energy-aware resource scheduling strategy is proposed based on elastic resource characteristics to generate virtual resource configuration schemes for real-time tasks.Finally,simulation results verify the effectiveness of the proposed algorithm,which reduces energy consumption while ensuring real-time performance.
作者
杨君
朱颖雯
YANG Jun;ZHU Yingwen(College of Mathematics and Information Science,Nanjing Normal University of Special Education,Nanjing 210038,Jiangsu,China;College of Computer Science and Engineering,Sanjiang University,Nanjing 210012,Jiangsu,China)
出处
《应用科学学报》
CAS
CSCD
北大核心
2023年第3期369-377,共9页
Journal of Applied Sciences
关键词
能耗感知
资源调度
边云协同计算
弹性资源
energy-aware
resource scheduling
edge-cloud collaborative computing
elastic resource
