• DocumentCode
    1832749
  • Title

    Topology discovery in heterogeneous IP networks

  • Author

    Breitbart, Yuri ; Garofalakis, Minos ; Martin, Cliff ; Rastogi, Rajeev ; Seshadri, S. ; Silberschatz, Avi

  • Author_Institution
    Inf. Sci. Res. Center, AT&T Bell Labs., Murray Hill, NJ, USA
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    265
  • 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: (a) 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 (b) 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 a 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 in time that is roughly quadratic in the number of network elements
  • Keywords
    computer network management; network topology; protocols; SNMP MIB information; event correlation; heterogeneous IP networks; multi-vendor IP networks; network management; physical network topology; proactive resource management; reactive resource management; root-cause analysis; topology discovery tool; Bridges; IP networks; Knowledge management; Network topology; Operating systems; Resource management; Software algorithms; Software standards; Software systems; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM 2000. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. IEEE
  • Conference_Location
    Tel Aviv
  • ISSN
    0743-166X
  • Print_ISBN
    0-7803-5880-5
  • Type

    conf

  • DOI
    10.1109/INFCOM.2000.832196
  • Filename
    832196