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


Dominguez Gouvea, Daniel; Muniz, Cyro; Pinto, Gilson; Avritzer, Alberto; Leao, Rosa Maria Meri; de Souza e Silva, Edmundo; Diniz, Morganna Carmem; Berardinelli, Luca; Leite, Julius C B; Mossé, Daniel; Cai, Yuanfang; Dalton, Mike; Happe, Lucia; Koziolek, Anne (2013). Experience with model-based performance, reliability and adaptability assessment of a complex industrial architecture. Software and Systems Modeling, 12(4):765-787.

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.

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.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Date:2013
Deposited On:29 Jan 2013 07:44
Last Modified:05 Apr 2016 16:25
Publisher:Springer
ISSN:1619-1366
Additional Information:The original publication is available at www.springerlink.com
Publisher DOI:https://doi.org/10.1007/s10270-012-0264-x
Other Identification Number:merlin-id:7819

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