Comparative study of middleware solutions for control and monitoring systems

Communication systems in today's world are no longer traditional in nature. Platforms required for Industry 4.0 that fall under Control and Monitoring systems, are datagathering units which gather data from remote devices and monitor them. Such platforms have various components which communicate with each other for data handling and monitoring. In the traditional peer-to-peer model, every module communicates with every other in a point-to-point manner that leads to connection overheads; the modules also have to understand the semantics of every other module in the system. This proves inefficient for a system where data influx and outflux is in huge amount. Therefore, a Middleware approach based on the publish-subscribe (pub-sub) model is used where modules communicate with the middleware instead of the connected peers, resulting in the performance gain of the system. Middleware is a software that connects software components or enterprise applications. This paper focuses on the study and comparison of middleware solutions(RabbitMQ, ZeroMQ, Mosquitto, Apache Qpid, YAMI4) based on parameters such as message throughput, latency, routing, messaging patterns supported, security, etc. YAMI4-message oriented middleware(Message Broker) proves suitable based on its optimal message throughput and latency for deployment in Control and Monitoring systems.