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This work analyses the features of distributing and parallelizing the SCADA(Supervisory control and data acquisition) tasks with power system applications. All the approaches to distribute & parallelize the tasks strive against its data structure and its real-time nature. A distributed - memory/task parallel process has been designed through a time-driven master-slave communication service. The service allows to introduce a task balancing scheme that try to hide the non-homogeneous work load nature of the involved single tasks. Simulation results obtained from PVM-based Megabit Ethernet implementation prove the efficiency of the communication and balancing load.
Date of Conference: 25-27 June 2010