DocumentCode
2223568
Title
A Full Automatic Identification of Faulty Links for Communication Networks
Author
Zhao, Zhi-Gang ; Wang, Jian-Hui
Author_Institution
Shenyang Normal Univ., Shenyang
fYear
2008
fDate
14-15 July 2008
Firstpage
163
Lastpage
168
Abstract
Conventionally the manual service is often required for fault diagnosis of network links with improper accuracy brought in. So, a full automatic fault diagnosis approach for communication links is proposed as follows. If the path information that which node are available or unavailable to communicate with from the node(s) taking charge of network management has both been known, a fault diagnosis model is developed in combination with probability computation, by which the node(s) in charge of network management can implement full automatically the real-time identification of the range where the link failures happen most probably. Then, the link failures can be positioned accurately via quick tests. Based on this approach, a hierarchy network management architecture is designed to deal with the fault diagnosis for a heterogeneous network environment. The simulation results showed that this approach is real-time, highly accurate and full automatic with no or few extra bandwidth occupied.
Keywords
fault diagnosis; telecommunication links; telecommunication network management; telecommunication network reliability; automatic identification; communication networks; fault diagnosis model; faulty links; heterogeneous network environment; link failures; network management; Artificial intelligence; Bandwidth; Communication networks; Computer network management; Computer networks; Conferences; Fault detection; Fault diagnosis; Humans; Testing; autonomy; communication network; fault diagnosis; fault identification; network management;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantic Computing and Systems, 2008. WSCS '08. IEEE International Workshop on
Conference_Location
Huangshan
Print_ISBN
978-0-7695-3316-2
Electronic_ISBN
978-0-7695-3316-2
Type
conf
DOI
10.1109/WSCS.2008.25
Filename
4570833
Link To Document