@inproceedings{b7e3e78c60f643f8bad1eed345b6f226,
title = "Probabilistic fault diagnosis in the MAGNETO autonomic control loop",
abstract = "Management of outer edge domains is a big challenge for service providers due to the diversity, heterogeneity and large amount of such networks, together with limited visibility on their status. This paper focuses on the probabilistic fault diagnosis functionality developed in the MAGNETO project, which enables finding the most probable cause of service problems and thus triggering appropriate repair actions. Moreover, its self-learning capabilities allow continuously enhancing the accuracy of the diagnostic process.",
keywords = "Autonomic, Bayesian Network, Home Area Networks (HAN), Probabilistic Management, Self-learning",
author = "Pablo Arozarena and Raquel Toribio and Jesse Kielthy and Kevin Quinn and Martin Zach",
year = "2010",
doi = "10.1007/978-3-642-13986-4_14",
language = "English",
isbn = "364213985X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "102--105",
booktitle = "Mechanisms for Autonomous Management of Networks and Services - 4th International Conference on Autonomous Infrastructure, Management and Security, AIMS 2010, Proceedings",
note = "null ; Conference date: 23-06-2010 Through 25-06-2010",
}