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Applications of Virtual Data in the LIGO Experiment

  • Ewa Deelman
  • Carl Kesselman
  • Roy Williams
  • Kent Blackburn
  • Albert Lazzarini
  • Scott Koranda
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2328)

Abstract

Many Physics experiments today generate large volumes of data. That data is then processed in many ways in order to achieve the understanding of fundamental physical phenomena. Virtual Data is a concept that unifies the view of the data whether it is raw or derived. It provides a new degree of transparency in how data-handling and processing capabilities are integrated to deliver data products to end-users or applications, so that requests for such products are easily mapped into computation and/or data access at multiple locations. GriPhyN (Grid Physics Network) is a NSF-funded project, which aims to realize the concepts of Virtual Data. Among the physics applications participating in the project is the Laser Interferometer Gravitational-wave Observatory (LIGO), which is being built to observe the gravitational waves predicted by general relativity. LIGO will produce large amounts of data, which are expected to reach hundreds of petabytes over the next decade. Large communities of scientists, distributed around the world, need to access parts of these datasets and perform efficient analysis on them. It is expected that the raw and processed data will be distributed among various national centers, university computing centers, and individual workstations. In this paper we describe some of the challenges associated with building Virtual Data Grids for experiments such as LIGO.

Keywords

Gravitational Wave Directed Acyclic Graph Compact Muon Solenoid Data Grid Grid Environment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Ewa Deelman
    • 1
  • Carl Kesselman
    • 1
  • Roy Williams
    • 2
  • Kent Blackburn
    • 3
  • Albert Lazzarini
    • 3
  • Scott Koranda
    • 4
  1. 1.USC Information Sciences InstituteMarina Del Rey
  2. 2.Center for Advanced Computing ResearchPasadena
  3. 3.LIGO Laboratory at CaltechPasadena
  4. 4.UWM Department of PhysicsMilwaukee

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