• DocumentCode
    3687134
  • Title

    Enabling on-demand database computing with MIT SuperCloud database management system

  • Author

    Andrew Prout;Jeremy Kepner;Peter Michaleas;William Arcand;David Bestor;Bill Bergeron;Chansup Byun;Lauren Edwards;Vijay Gadepally;Matthew Hubbell;Julie Mullen;Antonio Rosa;Charles Yee;Albert Reuther

  • Author_Institution
    MIT Lincoln Laboratory, Lexington, U.S.A.
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The MIT SuperCloud database management system allows for rapid creation and flexible execution of a variety of the latest scientific databases, including Apache Accumulo and SciDB. It is designed to permit these databases to run on a High Performance Computing Cluster (HPCC) platform as seamlessly as any other HPCC job. It ensures the seamless migration of the databases to the resources assigned by the HPCC scheduler and centralized storage of the database files when not running. It also permits snapshotting of databases to allow researchers to experiment and push the limits of the technology without concerns for data or productivity loss if the database becomes unstable.
  • Keywords
    "Engines","Security","Database systems","Arrays","Hardware","File systems"
  • Publisher
    ieee
  • Conference_Titel
    High Performance Extreme Computing Conference (HPEC), 2015 IEEE
  • Type

    conf

  • DOI
    10.1109/HPEC.2015.7322482
  • Filename
    7322482