• DocumentCode
    2502176
  • Title

    Enhanced DR-Tree for Low Latency Filtering in Publish/Subscribe Systems

  • Author

    Arantes, Luciana ; Potop-Butucaru, Maria Gradinariu ; Sens, Pierre ; Valero, Mathieu

  • Author_Institution
    LIP6, Univ. of Paris 6, Paris, France
  • fYear
    2010
  • fDate
    20-23 April 2010
  • Firstpage
    58
  • Lastpage
    65
  • Abstract
    Distributed R-tree overlays emerged as an alternative for efficiently implementing DHT-free publish/subscribe communication primitives. Overlays using R-tree index structures offer logarithmic delivery garantis, guarantee zero false negatives and considerably reduce the number of false positives. In this paper we extend the distributed R-trees (DR-trees) in order to reduce event delivery latency. Our optimizations target both the structural organization of the DR-Trees and the publication policies. The contribution of the current work steams in an extensive evaluation of the novel structure along four parameters: latency, load, scalability and the rate of false positives. The enhanced structure performs better than the traditional distributed R-tree in terms of delivery latency. Additionally, it does not alter the performances related to the scalability, nor the load balancing of the tree, and neither the rate of false positives and negatives filtered by a node.
  • Keywords
    middleware; resource allocation; tree data structures; DHT-free publish/subscribe communication; DR-tree; R-tree index structure; distributed R-tree overlays; event delivery latency; load balancing; logarithmic delivery; low latency filtering; publication policy; publish/subscribe system; structural organization; Delay; Filtering; Distributed R-Trees; Distributed multiplayer games; Performance evaluation; Publish/subscribe;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications (AINA), 2010 24th IEEE International Conference on
  • Conference_Location
    Perth, WA
  • ISSN
    1550-445X
  • Print_ISBN
    978-1-4244-6695-5
  • Type

    conf

  • DOI
    10.1109/AINA.2010.80
  • Filename
    5474678