Data-centric publish-subscribe approach for Distributed Complex Event Processing deployment in smart grid Internet of Things

Abstract

Smart grid is an important application of Internet Of Things (IOT). Monitoring data in large-scale smart grid are massive, real-time and dynamic that collected by a lot of sensors, services components etc. There are many challenges in deploying and managing distributed real time monitoring systems. This paper adopted data-centric approach in deploying Distributed Complex Event Processing (DCEP) monitoring system based on OMG Data Distribution Service (DDS) middleware, to bring about a more robust and scalable distributed monitoring system, and that easier to maintain and enhance over time. The DDS data-centric publish-subscribe programming model with support for a number of QoS properties gives many advantages for supporting DCEP components communications, that reliably transports events from data producers to Event Processing Agents (EPAs), between internal DCEP Processing Node (PN), and from the EPAs to the event consumers. This paper analyzed DCEP requirements in IoT, and its PN configuration and deployment flow, designed a DDS/DCEP integration architecture for smart grid IoT monitoring system, and gave a detail design about DCEP development and configuration method based on DDS data-centric programming model, that can simplify the DCEP complex deployment work. This work has beneficial for DECP large scale development & deployment research.