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R-GMA: An information integration system for Grid monitoring

  • Andy Cooke
  • , Alasdair J G Gray
  • , Lisha Ma
  • , Werner Nutt
  • , James Magowan
  • , Manfred Oevers
  • , Paul Taylor
  • , Rob Byrom
  • , Laurence Field
  • , Steve Hicks
  • , Jason Leake
  • , Manish Soni
  • , Antony Wilson
  • , Roney Cordenonsi
  • , Linda Cornwall
  • , Abdeslem Djaoui
  • , Steve Fisher
  • , Norbert Podhorszki
  • , Brian Coghlan
  • , Stuart Kenny
  • David O'Callaghan

    Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

    Abstract

    Computational Grids are distributed systems that provide access to computational resources in a transparent fashion. Collecting and providing information about the status of the Grid itself is called Grid monitoring. We describe R-GMA (Relational Grid Monitoring Architecture) as a solution to the Grid monitoring problem. It uses a local as view approach to information integration and will be a component of the European Union's DataGrid. The R-GMA architecture and mechanisms are general and could be used in other areas where there is a need for publishing and querying information in a distributed fashion. © Springer-Verlag Berlin Heidelberg 2003.
    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.
    PublisherSpringer Nature
    Pages462-481
    Number of pages19
    Volume2888
    Publication statusPublished - 2003

    Publication series

    NameLNCS

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