• DocumentCode
    3407713
  • Title

    Distributed data access and resource management in the D0 SAM system

  • Author

    Terekhov, I. ; Pordes, R. ; White, V. ; Lueking, L. ; Carpenter, L. ; Schellman, H. ; Trumbo, J. ; Veseli, S. ; Vranicar, M. ; White, S.

  • Author_Institution
    D0 Collaboration, Fermi Nat. Accel. Lab., Batavia, IL, USA
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    87
  • Lastpage
    92
  • Abstract
    SAM (Sequential Access through Meta-data) is the data access and job management system for the D0 high energy physics experiment at Fermilab. The SAM system is being developed and used to handle the Petabyte-scale experiment data, accessed by hundreds of D0 collaborators scattered around the world. In this paper, we present solutions to some of the distributed data processing problems from the perspective of real experience dealing with mission-critical data. We concentrate on the distributed disk caching, resource management and job control. The system has elements of Grid computing and has features applicable to data-intensive computing in general
  • Keywords
    cache storage; distributed databases; distributed programming; high energy physics instrumentation computing; information retrieval; meta data; operating systems (computers); resource allocation; D0 SAM system; D0 collaborators; D0 high-energy physics experiment; Fermilab; Grid computing; Petabyte-scale experiment data; data-intensive computing; distributed data access; distributed data processing; distributed disk caching; distributed job control; distributed resource management; job management system; meta-data; mission-critical data; sequential access; Catalogs; Collaboration; Data processing; Energy management; Grid computing; History; Laboratories; Mission critical systems; Particle scattering; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Distributed Computing, 2001. Proceedings. 10th IEEE International Symposium on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1082-8907
  • Print_ISBN
    0-7695-1296-8
  • Type

    conf

  • DOI
    10.1109/HPDC.2001.945179
  • Filename
    945179