Evaluation of real-time and embedded systems for monitoring and optimizing industrial processes using high performance computing

This paper deals with the evaluation of the real-time behavior of a proposed kind of embedded systems for monitoring and optimizing industrial processes, using high performance computing. The paper begins with an introduction to the industrial environment where the embedded systems will be integrated. Following this, the physical architecture of the environment of the embedded systems is presented. The next point shows the process structure of the system and its computational model. After that, a description of the behavior analysis strategy for the embedded systems and the metrics to be considered are given. According to these metrics, the evaluation of a real industrial embedded system, a complex hot strip mill monitoring and optimizing system, running in a SN9500 platform, is shown. Finally, the conclusions and future work to be done are presented.