DocumentCode :
1009813
Title :
Topology discovery in heterogeneous IP networks: the NetInventory system
Author :
Breitbart, Yuri ; Garofalakis, Minos ; Jai, Ben ; Martin, Cliff ; Rastogi, Rajeev ; Silberschatz, Avi
Author_Institution :
Dept. of Comput. Sci., Kent State Univ., OH, USA
Volume :
12
Issue :
3
fYear :
2004
fDate :
6/1/2004 12:00:00 AM
Firstpage :
401
Lastpage :
414
Abstract :
Knowledge of the up-to-date physical topology of an IP network is crucial to a number of critical network management tasks, including reactive and proactive resource management, event correlation, and root-cause analysis. Given the dynamic nature of today´s IP networks, keeping track of topology information manually is a daunting (if not impossible) task. Thus, effective algorithms for automatically discovering physical network topology are necessary. Earlier work has typically concentrated on either 1) discovering logical (i.e., layer-3) topology, which implies that the connectivity of all layer-2 elements (e.g., switches and bridges) is ignored, or 2) proprietary solutions targeting specific product families. In this paper, we present novel algorithms for discovering physical topology in heterogeneous (i.e., multi-vendor) IP networks. Our algorithms rely on standard SNMP MIB information that is widely supported by modern IP network elements and require no modifications to the operating system software running on elements or hosts. We have implemented the algorithms presented in this paper in the context of the NetInventory topology-discovery tool that has been tested on Lucent´s own research network. The experimental results clearly validate our approach, demonstrating that our tool can consistently discover the accurate physical network topology with reasonably small running-time requirements even for fairly large network configurations.
Keywords :
IP networks; computer network management; network topology; operating systems (computers); NetInventory topology-discovery tool; heterogeneous IP networks; network management; operating system software; physical network topology; Bridges; IP networks; Knowledge management; Network topology; Operating systems; Resource management; Software algorithms; Software standards; Software systems; Switches; IP network management; SNMP MIBs; physical network topology; switched Ethernet;
fLanguage :
English
Journal_Title :
Networking, IEEE/ACM Transactions on
Publisher :
ieee
ISSN :
1063-6692
Type :
jour
DOI :
10.1109/TNET.2004.828963
Filename :
1306489
Link To Document :
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