摘要
配用电物联网的发展以及海量分布式电源与配用电智能设备的大量接入,对业务的实时性、可靠性提出了更高要求。为了充分发挥云边协同架构系统的优势和降低配用电监控业务的延时,提出配用电物联网监控业务的微服务云边部署方法。首先,将配用电监控业务拆分成多个微服务,建立配用电监控业务的微服务时序逻辑模型。进一步建立微服务的云边微服务部署模型,并采用改进差分进化算法求解业务延时最小化的微服务云边部署方案。最后,通过仿真算例比较不同微服务云边部署策略的结果,并分析云边计算资源和通信资源对微服务部署结果的影响,仿真结果验证了该方法的有效性。
The development of power distribution Internet of Things and massive access of distributed power generators and distribution intelligent equipment put forward higher requirements for real-time performance and reliability of services.In order to give full play to the advantages of cloud-edge collaborative architecture system and reduce the delay of power distribution monitoring service,this paper proposes a cloud-edge deployment method of microservice for monitoring service in power distribution Internet of Things.Firstly,the power distribution monitoring service is divided into several microservices,and a sequential logic model of power distribution monitoring service is established.Then,a cloud-edge deployment model of microservices is established and an improved differential evolution algorithm is used to solve the cloud-edge microservice deployment scheme with the minimum of the service delay.Finally,the paper compares the results of different cloud-edge microservice deployment strategies through simulation examples,and analyzes the influences of cloud-edge computing resources and communication resources on the microservice deployment results.The simulation results verify the effectiveness of the proposed method.
作者
李波
赵瑞锋
黎皓彬
LI Bo;ZHAO Ruifeng;LI Haobin(Electric Power Dispatching Control Center of Guangdong Power Grid Co.,Ltd.,Guangzhou,Guangdong 510600,China)
出处
《广东电力》
2022年第1期70-76,共7页
Guangdong Electric Power
基金
广东电网有限责任公司科技项目(036000KK52180020)。
关键词
配用电物联网
监控业务
微服务
云边部署
power distribution Internet of Things
monitoring service
microservice
cloud-edge deployment
