• DocumentCode
    2999618
  • Title

    Scalla: Structured Cluster Architecture for Low Latency Access

  • Author

    Hanushevsky, Andrew ; Wang, Daniel L.

  • Author_Institution
    SLAC Nat. Accel. Lab., Menlo Park, CA, USA
  • fYear
    2012
  • fDate
    21-25 May 2012
  • Firstpage
    1168
  • Lastpage
    1175
  • Abstract
    Scalla is a distributed low-latency file access system that incorporates novel techniques that minimize latency and maximize scalability over a large distributed system with a distributed namespace. Scalla´s techniques have shown to be effective in nearly a decade of service for the high-energy physics community using commodity hardware and interconnects. We describe the two components used in Scalla that are instrumental in its ability to provide low-latency, fault-tolerant name resolution and load distribution, and enable its use as a high-throughput, low-latency communication layer in the Qserv system, the Large Synoptic Survey Telescope´s (LSST´s) prototype astronomical query system.
  • Keywords
    distributed processing; file organisation; pattern clustering; physics computing; LSST; Scalla; distributed namespace; distributed system; high energy physics community; large synoptic survey telescope; low latency access; prototype astronomical query system; structured cluster architecture; Communities; Protocols; Radiation detectors; Scalability; Semantics; Servers; Vectors; distributed storage; high concurrency; scalability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), 2012 IEEE 26th International
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-0974-5
  • Type

    conf

  • DOI
    10.1109/IPDPSW.2012.141
  • Filename
    6270769