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 :
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