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Digital
Library of the European Council for Modelling and Simulation |
Title: |
Modeling Dependencies In
Complex System Dependability |
Authors: |
Andrea Bobbio |
Published in: |
(2019). ECMS 2019
Proceedings Edited by: Mauro Iacono, Francesco Palmieri, Marco Gribaudo,
Massimo Ficco, European Council for Modeling and
Simulation. DOI: http://doi.org/10.7148/2019 ISSN:
2522-2422 (ONLINE) ISSN:
2522-2414 (PRINT) ISSN:
2522-2430 (CD-ROM) 33rd International ECMS Conference on Modelling and Simulation, Caserta, Italy, June 11th
– June 14th, 2019 |
Citation
format: |
Andrea Bobbio
(2019). Modeling Dependencies In Complex System Dependability, ECMS 2019 Proceedings Edited by: Mauro Iacono, Francesco Palmieri,
Marco Gribaudo, Massimo Ficco
European Council for Modeling and Simulation. doi: 10.7148/2019-0018 |
DOI: |
https://doi.org/10.7148/2019-0018 |
Abstract: |
Technological objects (as well as natural and biological beings) age in time reducing the ability to perform their functions until, eventually, a final catastrophic breakdown occurs. We adopt the term dependability to identify the ability of a system to deliver service that can justifiably be trusted [1]. Dependability is an integrating concept that encompasses various attributes like reliability and availability. The behavior of these attributes in time cannot be described by deterministic laws, and then, we are led to resort to stochastic models based on the laws of probability [2]. Many stochastic formalisms have been proposed since the beginning of reliability engineering that can be broadly classified based on whether component behaviors are considered statistically independent or statistically dependent. The modeling power of a formalism refers to its ability to correctly incorporate details of the real system, and the decision power refers to the ability to analytically compute characterizing measures. The success of any formalism depends on the balance between its modeling power and its decision power. |
Full
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