Presentation
Distributed Model-Based Diagnosis using Object-Relational Constraint Databases
Author/s | Gómez López, María Teresa
Martínez Gasca, Rafael Valle Sevillano, Carmelo del Pozo Hidalgo, Sergio |
Department | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Publication Date | 2006 |
Deposit Date | 2020-03-09 |
Published in |
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ISBN/ISSN | 0-7695-2466-4 1550-445X |
Abstract | This work presents a proposal to diagnose distributed
systems utilizing model-based diagnosis using distributed
databases. In order to improve aspects as versatility, persistence,
easy composition and efficiency in the ... This work presents a proposal to diagnose distributed systems utilizing model-based diagnosis using distributed databases. In order to improve aspects as versatility, persistence, easy composition and efficiency in the diagnosis process we use an Object Relational Constraint Database (ORCDB). Thereby we define a distributed architecture to store the behaviour of components as constraints in a relational database to diagnose a distributed system. This work proposes an algorithm to detect which components fail when their information is distributed in several databases, and all the information is not available in a global way. It is also offered a proposal to define, in execution time, the allocation of the sensors in a distributed system. |
Funding agencies | Ministerio de Ciencia Y Tecnología (MCYT). España |
Project ID. | DPI2003-07146-C02-01 |
Citation | Gómez López, M.T., Martínez Gasca, R., Valle Sevillano, C.d. y Pozo Hidalgo, S. (2006). Distributed Model-Based Diagnosis using Object-Relational Constraint Databases. En AINA 2006: 20th International Conference on Advanced Information Networking and Applications Vienna, Austria: IEEE Computer Society. |
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