• DocumentCode
    2793523
  • Title

    SZTAKI Desktop Grid: a Modular and Scalable Way of Building Large Computing Grids

  • Author

    Balaton, Zoltán ; Gombás, Gábor ; Kacsuk, Péter ; Kornafeld, Ádám ; Kovács, József ; Marosi, Attila Csaba ; Vida, Gábor ; Podhorszki, Norbert ; Kiss, Tamás

  • Author_Institution
    MTA SZTAKI Comput. & Autom. Res. Inst., Hungarian Acad. of Sci., Budapest
  • fYear
    2007
  • fDate
    26-30 March 2007
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    So far BOINC based desktop grid systems have been applied at the global computing level. This paper describes an extended version of BOINC called SZTAKI desktop grid (SZDG) that aims at using desktop grids (DGs) at local (enterprise/institution) level. The novelty of SZDG is that it enables the hierarchical organisation of local DGs, i.e., clients of a DG can be DGs at a lower level that can take work units from their higher level DG server. More than that, even clusters can be connected at the client level and hence work units can contain complete MPI programs to be run on the client clusters. In order to easily create master/worker type DG applications a new API, called as the DC-API has been developed. SZDG and DC-API has been successfully applied both at the global and local level, both in academic institutions and in companies to solve problems requiring large computing power.
  • Keywords
    application program interfaces; client-server systems; grid computing; message passing; API; BOINC based desktop grid systems; Berkeley open infrastructure for network computing; MPI programs; SZTAKI desktop grid; application program interfaces; client clusters; distributed computing; hierarchical organisation; master-worker type DG applications; message passing interface; Application software; Automation; Computer science; Computer vision; Contracts; Distributed computing; Grid computing; Internet; Middleware; Personal communication networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium, 2007. IPDPS 2007. IEEE International
  • Conference_Location
    Long Beach, CA
  • Print_ISBN
    1-4244-0910-1
  • Electronic_ISBN
    1-4244-0910-1
  • Type

    conf

  • DOI
    10.1109/IPDPS.2007.370665
  • Filename
    4228393