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

Gouvêa, DD and Muniz, CDAAD and Pinto, GA and Avritzer, A and Leão, RMM and de Souza e Silva, E and Diniz, MC and Cortellessa, V and Berardinelli, L and Leite, JCB and Mossé, D and Cai, Y and Dalton, M and Happe, L and Koziolek, A (2013) Experience with model-based performance, reliability, and adaptability assessment of a complex industrial architecture. Software and Systems Modeling, 12 (4). 765 - 787. ISSN 1619-1366

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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. © 2012 Springer-Verlag.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Gouvêa, DD
Muniz, CDAAD
Pinto, GA
Avritzer, A
Leão, RMM
de Souza e Silva, E
Diniz, MC
Cortellessa, V
Berardinelli, L
Leite, JCB
Mossé, D
Cai, Y
Dalton, M
Happe, L
Koziolek, A
Date: 1 October 2013
Date Type: Publication
Journal or Publication Title: Software and Systems Modeling
Volume: 12
Number: 4
Page Range: 765 - 787
DOI or Unique Handle: 10.1007/s10270-012-0264-x
Schools and Programs: Dietrich School of Arts and Sciences > Computer Science
Refereed: Yes
ISSN: 1619-1366
Date Deposited: 14 Nov 2012 15:19
Last Modified: 31 Jul 2020 17:56


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