Abstract
In this paper, we propose a framework for identifying most probable faulty network components from a set of generic alarms in a heterogeneous environment. A designated network entity with management responsibilities determines a fault has occurred due to its inability to communicate with certain other entities. Given this information as well as the information that it can communicate with another specified set of entities, one would like to identify as quickly as possible a ranked list of the most probable failed network resources. A method based on maximum a posteriori (MAP) estimation is presented.
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© 1994 Springer Science+Business Media New York
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Wang, C., Schwartz, M. (1994). Fault Diagnosis of Network Connectivity Problems by Probabilistic Reasoning. In: Frisch, I.T., Malek, M., Panwar, S.S. (eds) Network Management and Control. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-1298-5_8
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DOI: https://doi.org/10.1007/978-1-4899-1298-5_8
Publisher Name: Springer, Boston, MA
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