王继业, 张金帅, 苑学贺, 梅玉娜. 云数据中心基于冷启动的调度方法研究[J]. 电力信息与通信技术, 2021, 19(5): 1-5. DOI: 10.16543/j.2095-641x.electric.power.ict.2021.05.001
引用本文: 王继业, 张金帅, 苑学贺, 梅玉娜. 云数据中心基于冷启动的调度方法研究[J]. 电力信息与通信技术, 2021, 19(5): 1-5. DOI: 10.16543/j.2095-641x.electric.power.ict.2021.05.001
WANG Jiye, ZHANG Jinshuai, YUAN Xuehe, MEI Yuna. Research on Scheduling Methods for Cold-Start in Cloud Data Center[J]. Electric Power Information and Communication Technology, 2021, 19(5): 1-5. DOI: 10.16543/j.2095-641x.electric.power.ict.2021.05.001
Citation: WANG Jiye, ZHANG Jinshuai, YUAN Xuehe, MEI Yuna. Research on Scheduling Methods for Cold-Start in Cloud Data Center[J]. Electric Power Information and Communication Technology, 2021, 19(5): 1-5. DOI: 10.16543/j.2095-641x.electric.power.ict.2021.05.001

云数据中心基于冷启动的调度方法研究

Research on Scheduling Methods for Cold-Start in Cloud Data Center

  • 摘要: 针对云数据中心冷启动带来的高延迟问题,文章分别提出了面向节能的虚拟机调度策略和面向服务质量的虚拟机调度策略。实验数据表明,和传统的调度方法相比,该调度策略极大地降低了由于冷启动带来的系统延迟,提高了系统的响应速度。另外,该调度策略在降低云数据中心能耗的同时,还有效地保证了系统的服务质量。

     

    Abstract: Aiming at the high latency incurred in the cold start of cloud data center, this paper proposes energy-saving virtual machine scheduling strategies and service quality oriented virtual machine scheduling strategies. Compared with the conventional scheduling method, experimental results show that the proposed scheduling strategies significantly reduce the system delay caused by cold start and improve the response speed of the system. In addition, these scheduling strategies not only reduce the energy consumption of the cloud data centers, but also effectively guarantee the quality of service of the systems.

     

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