• DocumentCode
    2176037
  • Title

    A Locality-Aware Publish/Subscribe Scheme for High Level Architecture on Structured Peer-to-Peer Networks

  • Author

    Chang, Wei-Chao ; Lo, Shih-Hsiang ; Lai, Kuan-Chou ; Li, Kuan-Ching ; Chung, Yeh-Ching

  • Author_Institution
    Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan
  • fYear
    2010
  • fDate
    11-13 Dec. 2010
  • Firstpage
    261
  • Lastpage
    267
  • Abstract
    High Level Architecture (HLA) is a distributed simulation architecture which is applied to many simulation environments. In most of these environments, the simulation entities (called the federate in HLA) communicate with each other by interconnected local area networks (LANs). Due to the communications among federates which are in the same LAN have shorter latency and higher bandwidth, this paper proposes a message publish/subscribe scheme of HLA based on structured peer-to-peer overlay according to the principle of locality, by increasing the size of affordable federates and the size of workload by using the same hardware environment. Moreover, the run-time infrastructure (RTI) is implemented in accordance with HLA for performance evaluation. Experimental results show that the proposed scheme improves the performance of simulations.
  • Keywords
    LAN interconnection; message passing; parallel architectures; peer-to-peer computing; LAN; distributed simulation architecture; high level architecture; interconnected local area networks; locality principle; message publish-subscribe scheme; run-time infrastructure; simulation entities; structured peer-to-peer overlay networks; Computational modeling; Computer architecture; Lead; Local area networks; Peer to peer computing; Routing; Servers; High Level Architecture; Locality; Multicast; Peer-to-Peer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering (CSE), 2010 IEEE 13th International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-9591-7
  • Electronic_ISBN
    978-0-7695-4323-9
  • Type

    conf

  • DOI
    10.1109/CSE.2010.69
  • Filename
    5692484