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

机译:智能电网互联网中分布式复杂事件处理部署的数据中心发布 - 订阅方法

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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.
机译:智能电网是物联网的重要应用(IOT)。大规模智能电网中的监视数据是由大量传感器,服务组件等收集的大规模,实时和动态,在部署和管理分布式实时监控系统中存在许多挑战。本文采用基于OMG数据分发服务(DDS)中间件部署分布式复杂事件处理(DCEP)监控系统的数据为中心的方法,以带来更强大和可扩展的分布式监控系统,并且更容易维护和增强。具有支持多个QoS属性的DDS数据为中心的发布 - 订阅编程模型为支持DCEP组件通信提供了许多优点,可靠地将数据生产商的事件可靠地传输到事件处理代理(EPAS),在内部DCEP处理节点(PN)之间,以及从EPA到活动消费者。本文分析了IOT的DCEP要求及其PN配置和部署流,设计了一种用于智能电网IOT监控系统的DDS / DCEP集成架构,并提供了基于DDS数据为中心的编程模型的DCEP开发和配置方法的详细设计,这可以简化DCEP复杂部署工作。这项工作对DECP大规模开发和部署研究有益。

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