Name
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. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-70587-1_9 | AIMS |
Keywords | Field | DocType |
automated mechanism,recovery knowledge discovery,traffic engineering,outbound inter-domain traffic,fault resolution,effective fault recovery solution,network fault recovery management,automated recovery planning,network fault,efficient fault handling process,automated fault recovery,case based reasoning,case base reasoning,inter domain,fault management | Inter-domain,Peer-to-peer,Policy-based management,Computer science,Computer network,Fault management,Knowledge extraction,Router,Case-based reasoning,Traffic engineering,Distributed computing | Conference |
Volume | ISSN | Citations |
5127 | 0302-9743 | 1 |
PageRank | References | Authors |
0.41 | 13 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Feng Liu | 1 | 5 | 0.88 |
| Antonis M. Hadjiantonis | 2 | 75 | 12.35 |
| Ha Manh Tran | 3 | 44 | 11.55 |
| Mina Amin | 4 | 16 | 3.15 |