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Data Grids: a new computational infrastructure for data-intensive science.

Paul Avery1

  • 1Department of Physics, University of Florida, 2029 NPB, PO Box 118440, Gainesville, FL 32611, USA.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|June 14, 2003
PubMed
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Data Grids provide scalable computing infrastructures for geographically dispersed, data-intensive scientific collaborations. These systems enable efficient resource sharing and transparent access to massive distributed data archives for global research efforts.

Area of Science:

  • High-Energy Physics
  • Distributed Computing
  • Data Science

Background:

  • Modern scientific and engineering projects are increasingly distributed globally.
  • Large-scale data archives present significant storage, retrieval, and analysis challenges.
  • Effective collaboration and resource sharing are critical for distributed research endeavors.

Purpose of the Study:

  • To explore Data Grids as a comprehensive framework for collaboration and resource sharing in data-intensive enterprises.
  • To present a Data Grid framework example for the Large Hadron Collider experiment.
  • To highlight the applicability of these systems to diverse scientific and industrial domains.

Main Methods:

  • Conceptual framework development for Data Grids.

Related Experiment Videos

  • Implementation of a hierarchical Data Grid for a Large Hadron Collider experiment.
  • Analysis of resource sharing and data access in a distributed environment.

    • Main Results:

    • Demonstrated a scalable Data Grid framework capable of managing petaflops of processing power and multi-petabytes of data.
    • Enabled efficient use of distributed laboratory and university resources by a global collaboration.
    • Provided transparent, managed access to massive distributed data collections.

    Conclusions:

    • Data Grids offer a robust solution for collaboration and resource sharing in data-intensive scientific and engineering fields.
    • The developed information systems are applicable to a wide spectrum of large-scale, data-intensive problems.
    • These computing infrastructures are essential for future information-based societies.