• DocumentCode
    1451740
  • Title

    Topology aggregation for directed graphs

  • Author

    Awerbuch, Baruch ; Shavitt, Yuval

  • Author_Institution
    Dept. of Comput. Sci., Johns Hopkins Univ., Baltimore, MD, USA
  • Volume
    9
  • Issue
    1
  • fYear
    2001
  • fDate
    2/1/2001 12:00:00 AM
  • Firstpage
    82
  • Lastpage
    90
  • Abstract
    This paper addresses the problem of aggregating the topology of a sub-network in a compact way with minimum distortion. The problem arises from networks that have a hierarchical structure, where each sub-network must advertise the cost of routing between each pair of its border nodes. The straight-forward solution of advertising the exact cost for each pair has a quadratic cost which is not practical. We look at the realistic scenario of networks where all links are bidirectional, but their cost (or distance) in the opposite directions might differ significantly. The paper presents a solution with distortion that is bounded by the logarithm of the number of border nodes and the square-root of the asymmetry in the cost of a link. This is the first time that a theoretical bound is given to an undirected graph. We show how to apply our solution to PNNI, and suggest some other heuristics that are tested to perform better than the provenly bounded solution
  • Keywords
    asynchronous transfer mode; directed graphs; network interfaces; network topology; packet switching; telecommunication network routing; telecommunication standards; trees (mathematics); ATM PNNI standard; bidirectional links; border nodes; directed graphs; distortion; hierarchical network structure; minimum spanning trees; quadratic cost; random spanning trees; routing cost; sub-network; topology aggregation; undirected graph; Additives; Advertising; Communication systems; Costs; Network topology; Peer to peer computing; Performance evaluation; Routing; Testing; Tree graphs;
  • fLanguage
    English
  • Journal_Title
    Networking, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6692
  • Type

    jour

  • DOI
    10.1109/90.909026
  • Filename
    909026