Experience with model-based performance, reliability, and adaptability assessment of a complex industrial architecture

  • Authors:

  • Daniel Dominguez Gouvêa;Cyro De Muniz;Gilson A. Pinto;Alberto Avritzer;Rosa Maria Leão;Edmundo De Souza E Silva;Morganna Carmem Diniz;Vittorio Cortellessa;Luca Berardinelli;Julius C. Leite;Daniel Mossé;Yuanfang Cai;Michael Dalton;Lucia Happe;Anne Koziolek

  • Affiliations:

  • Chemtech - A Siemens Business, Rio de Janeiro, Brazil 20011-030;Chemtech - A Siemens Business, Rio de Janeiro, Brazil 20011-030;Chemtech - A Siemens Business, São Paulo, Brazil 05069-010;Siemens Corporation, Research and Technology, Princeton, USA 08540;Federal University of Rio de Janeiro, COPPE, Rio de Janeiro, Brazil 21941-972;Federal University of Rio de Janeiro, COPPE, Rio de Janeiro, Brazil 21941-972;Federal University of the State of Rio de Janeiro, Rio de Janeiro, Brazil;University of L' Aquila, L' Aquila, Italy;University of L' Aquila, L' Aquila, Italy;Universidade Federal Fluminense, Niterói, Brazil;University of Pittsburgh, Pittsburg, USA;Drexel University, Philadelphia, USA;Drexel University, Philadelphia, USA;Karlsruhe Institute of Technology, Karlsruhe, Germany;University of Zurich, Zurich, Switzerland

  • Venue:
  • Software and Systems Modeling (SoSyM)
  • Year:
  • 2013

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Abstract

In this paper, we report on our experience with the application of validated models to assess performance, reliability, and adaptability of a complex mission critical system that is being developed to dynamically monitor and control the position of an oil-drilling platform. We present real-time modeling results that show that all tasks are schedulable. We performed stochastic analysis of the distribution of task execution time as a function of the number of system interfaces. We report on the variability of task execution times for the expected system configurations. In addition, we have executed a system library for an important task inside the performance model simulator. We report on the measured algorithm convergence as a function of the number of vessel thrusters. We have also studied the system architecture adaptability by comparing the documented system architecture and the implemented source code. We report on the adaptability findings and the recommendations we were able to provide to the system's architect. Finally, we have developed models of hardware and software reliability. We report on hardware and software reliability results based on the evaluation of the system architecture.