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Data grid || for large amounts of

Published March 8th, 2007 in Uncategorized

A data grid is a grid computing system that deals with data — the controlled sharing and management of large amounts of distributed data. These are often, but not always, combined with computational grid computing systems.

Many scientific and engineering applications require access to large amounts of distributed data (terabytes or petabytes). The size and number of these data collections has been growing rapidly in recent years and will continue to grow as new experiments and sensors come on-line, the costs of computation and data storage decrease and performances increase, and new computational science applications are developed.

Current large-scale data grid projects include the Biomedical Informatics Research Network (BIRN), the Southern California Earthquake Center (SCEC), and the Real-time Observatories, Applications, and Data management Network (ROADNet), all of which make use of the SDSC Storage Resource Broker as the underlying data grid technology. These applications require widely distributed access to data by many people in many places. The data grid creates virtual collaborative environments that support distributed but coordinated scientific and engineering research.


See also

  • Storage Resource Broker
  • CPU scavenging
  • Grid computing
  • Space based architecture


External links

  • SDSC Storage Resource Broker
  • Commercial Nirvana Storage Resource Broker
  • Southern California Earthquake Center (SCEC)
  • Biomedical Informatics Research Network (BIRN)
  • Real-time Observatories, Applications, and Data management Network (ROADNet)
  • Open Science Grid


Implementations

  • GigaSpaces Data and Application Grid
  • GemFire Data Grid
  • Oracle Coherence Data Grid (Formerly the Tangosol Coherence Data Grid)
  • IBM ObjectGrid - free trial download
  • Cacheonix Data Grid