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Accepted (AM)Open Access (License Unspecified), Open
Journal article
Experience with model-based performance, reliability, and adaptability assessment of a complex industrial architecture
Software and systems modeling, v 12(4), pp 765-787
01 Oct 2013
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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Details
- Title
- Experience with model-based performance, reliability, and adaptability assessment of a complex industrial architecture
- Creators
- Daniel Dominguez Gouvea - SiemensCyro de A. Assis D. Muniz - Chemtech, BR-20011030 Rio De Janeiro, RJ, BrazilGilson A. Pinto - SiemensAlberto Avritzer - Princeton UniversityRosa Maria Meri Leao - Univ Fed Rio de Janeiro, COPPE, BR-21941972 Rio De Janeiro, RJ, BrazilEdmundo de Souza e Silva - Federal University of Rio de JaneiroMorganna Carmem Diniz - Federal University of the State of Rio de JaneiroVittorio Cortellessa - University of L'AquilaLuca Berardinelli - University of L'AquilaJulius C. B. Leite - Fluminense Federal UniversityDaniel Mosse - Pittsburg State UniversityYuanfang Cai - Drexel UniversityMichael Dalton - Drexel UniversityLucia Happe - Karlsruhe Institute of TechnologyAnne Koziolek - University of Zurich Zürich, Switzerland
- Publication Details
- Software and systems modeling, v 12(4), pp 765-787
- Publisher
- Springer Nature
- Number of pages
- 23
- Grant note
- FINEP; Financiadora de Inovacao e Pesquisa (Finep) CNPq; Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Computer Science
- Web of Science ID
- WOS:000326095600008
- Scopus ID
- 2-s2.0-84886255758
- Other Identifier
- 991019167568304721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Industry collaboration
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Software Engineering