引用本文: | 程 钎,陈 羽,孙伶雁,丁 锐,王敬华.微服务架构下配电台区任务云边协同在线调度策略[J].电力系统保护与控制,2022,50(23):142-150.[点击复制] |
CHENG Qian,CHEN Yu,SUN Lingyan,DING Rui,WANG Jinghua.Cloud-edge collaborative online scheduling strategy for distribution stationarea tasks with a microservice architecture[J].Power System Protection and Control,2022,50(23):142-150[点击复制] |
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摘要: |
由电网域向社会服务域延伸的配电网需要支持更多的业务,应用随新业务拓展不断增加可能会导致边设备资源不足。为了从边设备层面支撑资源受限情况下任务的调度与协同处理,提出了微服务架构下配电台区任务云边协同在线调度策略。从任务及设备角度对云边容器化场景下任务调度问题进行了分析,在容器化电力任务云边调度机制基础上,设计了优先级策略与任务分配策略,并通过改进的在线算法对任务进行实时调度。仿真结果表明,所提策略具有更高的任务执行效率,通过资源置换,能够提高边设备资源受限时重要任务的完成率以及系统安全性。 |
关键词: 任务调度 微服务 云边协同 优先级 边设备 |
DOI:DOI: 10.19783/j.cnki.pspc.220159 |
投稿时间:2022-02-10修订日期:2022-04-12 |
基金项目:国家重点研发计划项目资助(2016YFB0900600) |
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Cloud-edge collaborative online scheduling strategy for distribution stationarea tasks with a microservice architecture |
CHENG Qian,CHEN Yu,SUN Lingyan,DING Rui,WANG Jinghua |
(1. College of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China;
2. Shandong Kehui Power Automation Co., Ltd., Zibo 255000, China) |
Abstract: |
The distribution network extending from the grid to the social service domain needs to support more services. As applications continue to increase with new business expansion, this may result in insufficient resources for edge devices. In order to support the scheduling and collaborative processing of tasks given a resource constraint from the edge device level, a cloud-edge collaborative online scheduling strategy for distribution station area tasks with a microservice architecture is proposed. This paper analyzes the task scheduling problem in the cloud-edge containerized scenario from the task and device perspectives, designs the priority and task assignment strategy based on the cloud-edge containerization scheduling mechanism of power tasks, and schedules the tasks in real time using an improved online algorithm. Simulation results show that the proposed strategy has higher task execution efficiency and can improve the completion rate of important tasks and system security when the resources of edge devices are limited through resource swapping.
This work is supported by the National Key Research and Development Program of China (No. 2016YFB0900600). |
Key words: task scheduling microservice cloud-edge collaboration priority edge device |