全球能源互联网2025，Vol.8Issue(3)：357-367,11.DOI:10.19705/j.cnki.issn2096-5125.2025.03.011
基于容器选择的边端协同台区微服务实时处理方法
Container Selection-based Edge-cloud Collaboration Microservices Real-time Processing for Distribution Substation Area
摘要
Abstract
With the increasing number of service types and data volume in the distribution substation area,distribution substation area services such as data collection,energy regulation,load control,and fault monitoring have higher requirements for real-time data processing.Container architecture and microservice technology can improve resource utilization efficiency and reduce data processing delays for distribution substation areas.However,microservice offloading and processing in the distribution substation area still face several challenges such as differentiated microservice processing requirements,externalities of microservice processing waiting delay,and server and container resource competition.Aiming at the demand for real-time processing of electric service data in the distribution substation area,first,a container-based edge-device collaborative microservice real-time processing architecture for distribution substation areas is proposed.Second,the optimization problem of minimizing the total microservice processing delay is constructed.Then,the empirical matching-based optimization algorithm for real-time processing of microservices in the distribution substation area is proposed to solve the problem of joint server and container selection for microservices.Finally,the performance advantage of the proposed algorithm in terms of total microservice processing delay is verified through simulation experiments.关键词
低压台区/容器选择/微服务优先级调节/微服务实时处理Key words
distribution substation area/container selection/microservice priority adjustment/microservice real-time processing分类
动力与电气工程引用本文复制引用
施展,李波,王秀竹,杨志花..基于容器选择的边端协同台区微服务实时处理方法[J].全球能源互联网,2025,8(3):357-367,11.基金项目
南方电网公司科技项目 036000KK52220019(GDKJXM20220253). Science and Technology Project of China Southern Power Grid Company Limited 036000KK52220019(GDKJXM20220253). （GDKJXM20220253）
