@inproceedings{82fa2506ec29452095e7388f4b09f143,
title = "An architecture for supporting network fault recovery management",
abstract = "Highly available and resilient networks play a decisive role in today's networked world. As network faults are inevitable and networks are becoming constantly intricate, finding effective fault recovery solutions in a timely manner is becoming a challenging task for administrators. Therefore, an automated mechanism to support fault resolution is essential towards efficient fault handling process. In this paper we propose an architecture to support automated fault recovery in terms of traffic engineering, recovery knowledge discovery and automated recovery planning. We base our discussion on an application scenario for recovery from border router failure to maintain optimized configuration of outbound inter-domain traffic.",
keywords = "Automated planning, Case-based reasoning, Fault management, Fault recovery, Inter-domain, Peer-to-peer, Policy-based management, Traffic engineering",
author = "Feng Liu and Hadjiantonis, {Antonis M.} and Tran, {Ha Manh} and Mina Amin",
year = "2008",
doi = "10.1007/978-3-540-70587-1_9",
language = "English",
isbn = "3540705864",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "105--119",
booktitle = "Resilient Networks and Services - Second International Conference on Autonomous Infrastructure, Management and Security, AIMS 2008, Proceedings",
note = "2nd International Conference on Autonomous Infrastructure, Management and Security, AIMS 2008 ; Conference date: 01-07-2008 Through 03-07-2008",
}