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Developing efficient, scalable and reconfigurable supervisory control and data acquisition (SCADA) systems presents a unique se t of challenges inherent in the development of distributed computer architectures, algorithms, protocols and procedures for large-scale networked industrial automation applications. A research project on dataflow automation system architecture is p resented exploring the research and engineering issues related to the development of computer architecture for the next generation distributed supervision and control systems that exploits and leverages dataflow computation model. Major focus of research is on new object-attribute architecture of dataflow computing environmen t which is particularly suitable for the design and implementation of reconfigurable scalable heterogeneous distributed applications in industrial automation area. The state-ofthe-art in the application of the dataflow model of computation is accompanied with description of software tools developed for p rogramming, simulation, debugging and test of automation applications that follow the object-attribute dataflow model. © 2014 The Authors. Published by Elsevier Ltd. Selection and peer-review under responsibility of DAAAM International Vienna.

Dataflow Computing and its Impact on Automation Applications