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Jetstream: A self-provisioned, scalable science and engineering cloud environment

  • Craig A. Stewart
  • , David Hancock
  • , Daniel Stanzioneb
  • , George Turnerd
  • , Timothy M. Cockerill
  • , Nirav Merchant
  • , James Taylor
  • , Matthew Vaughn
  • , Ian Foster
  • , Edwin Skidmore
  • , Steven Tuecke
  • , Niall I. Gaffney

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Jetstream will be the first production cloud resource supporting general science and engineering research within the XD ecosystem. In this report we describe the motivation for proposing Jetstream, the configuration of the Jetstream system as funded by the NSF, the team that is implementing Jetstream, and the communities we expect to use this new system. Our hope and plan is that Jetstream, which will become available for production use in 2016, will aid thousands of researchers who need modest amounts of computing power interactively. The implementation of Jetstream should increase the size and disciplinary diversity of the US research community that makes use of the resources of the XD ecosystem.

    Original languageEnglish (US)
    Title of host publicationProceedings of the XSEDE 2015 Conference
    Subtitle of host publicationScientific Advancements Enabled by Enhanced Cyberinfrastructure
    PublisherAssociation for Computing Machinery
    ISBN (Electronic)9781450337205
    DOIs
    StatePublished - Jul 26 2015
    Event4th Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2015 - St. Louis, United States
    Duration: Jul 26 2015Jul 30 2015

    Publication series

    NameACM International Conference Proceeding Series
    Volume2015-July

    Conference

    Conference4th Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2015
    Country/TerritoryUnited States
    CitySt. Louis
    Period7/26/157/30/15

    Keywords

    • Atmosphere
    • Big data
    • Cloud computing
    • Long tail of science

    ASJC Scopus subject areas

    • Software
    • Human-Computer Interaction
    • Computer Vision and Pattern Recognition
    • Computer Networks and Communications

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