• DocumentCode
    3543391
  • Title

    LAMBDA -- The LSDF Execution Framework for Data Intensive Applications

  • Author

    Jejkal, Thomas ; Hartmann, Volker ; Stotzka, Rainer ; Otte, Jens ; García, Ariel ; Van Wezel, Jos ; Streit, Achim

  • Author_Institution
    Inst. for Data Process. & Electron. (IPE), Karlsruhe Inst. of Technol. (KIT), Karlsruhe, Germany
  • fYear
    2012
  • fDate
    15-17 Feb. 2012
  • Firstpage
    213
  • Lastpage
    220
  • Abstract
    To cope with the growing requirements of data intensive scientific experiments, models and simulations the Large Scale Data Facility (LSDF) at KIT aims to support many scientific disciplines. The LSDF is a distributed storage facility at Exabyte scale providing storage, archives, data bases and meta data repositories. Apart from data storage many scientific communities need to perform data processing operations as well. For this purpose the LSDF Execution Framework for Data Intensive Applications (LAMBDA) was developed to allow asynchronous high-performance data processing next to the LSDF. However, it is not restricted to the LSDF or any special feature only available at the LSDF. The main goal of LAMBDA is to simplify large scale data processing for scientific users by reducing complexity, responsibility and error-proneness. The description of an execution is realized as part of LAMBDA administration in the background via meta data that can be obtained from arbitrary sources. Thus, the scientific user has only to select which applications he wants to apply to his data.
  • Keywords
    distributed databases; information retrieval systems; large-scale systems; meta data; storage management; LAMBDA; LSDF execution framework; archives; asynchronous high-performance data processing; complexity reduction; data intensive applications; distributed databases; distributed storage facility; error-proneness reduction; exabyte scale providing storage; large scale data facility; large scale data processing; meta data repositories; responsibility reduction; scientific user; Communities; Data processing; Microscopy; Monitoring; Reliability; Runtime; Software; Hadoop; LSDF; Large Scale Data Facility; data intensive science; data processing; meta data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel, Distributed and Network-Based Processing (PDP), 2012 20th Euromicro International Conference on
  • Conference_Location
    Garching
  • ISSN
    1066-6192
  • Print_ISBN
    978-1-4673-0226-5
  • Type

    conf

  • DOI
    10.1109/PDP.2012.69
  • Filename
    6169552