• DocumentCode
    2805219
  • Title

    An optimised geographically-aware overlay network

  • Author

    Le, Hanh ; Hoang, Doan ; Simmonds, Andrew

  • Author_Institution
    Adv. Res. in Networking Lab., Univ. of Technol., Sydney, NSW, Australia
  • fYear
    2005
  • fDate
    10-12 Aug. 2005
  • Firstpage
    372
  • Lastpage
    377
  • Abstract
    The mismatch between current peer-to-peer (P2P) overlay structures and the underlying network topology causes high end-to-end latency and inefficient network resource usage. This paper presents a self-organising overlay network that closely reflects the underlying network topology by using the basic idea of a node locating scheme called geographical longest prefix matching (Geo-LPM) [2004]. Geo-LPM combines IP prefixes and a network metric measurement to cluster nodes efficiently. We optimise Geo-LPM to adapt to different geographical locations so that nodes in the same clusters often belong to the same physical network. We propose to implement Geo-LPM in a distributed fashion. As a result, the overlays utilise the underlying network resources more efficiently and reduce the delay from end-to-end. The system is self-organising, distributed, and decentralised with low overhead.
  • Keywords
    IP networks; computer network management; network topology; peer-to-peer computing; end-to-end latency; geographical longest prefix matching; geographically-aware overlay network; network metric measurement; network topology; peer-to-peer overlay structures; self-organising overlay network; Bandwidth; Costs; Delay; File systems; IP networks; Laboratories; Network topology; Peer to peer computing; Routing; Web and internet services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics, 2005. INDIN '05. 2005 3rd IEEE International Conference on
  • Print_ISBN
    0-7803-9094-6
  • Type

    conf

  • DOI
    10.1109/INDIN.2005.1560405
  • Filename
    1560405