Advertisement

Using a Grid for Digital Preservation

  • José Barateiro
  • Gonçalo Antunes
  • Manuel Cabral
  • José Borbinha
  • Rodrigo Rodrigues
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5362)

Abstract

Digital preservation aims at maintaining digital objects and data accessible over long periods of time. Data grids provide several functionalities required by digital preservation systems, especially when massive amounts of data must be preserved, as in e-Science domains. We propose the use of existing data grid solutions to build frameworks for digital preservation. In this paper we survey the main threats to digital preservation, which are used to identify a central point of failure in the metadata catalog of the iRODS data grid solution. We propose three extensions to the iRODS framework, to overcome the shortcomings of iRODS when used as a digital preservation system.

Keywords

Digital Libraries Digital Preservation Data Grids e-Science 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Baker, M., Keeton, K., Martin, S.: Why traditional storage systems don’t help us save stuff forever. In: 1st IEEE Workshop on Hot Topics in System Dependability, June 30 (2005)Google Scholar
  2. 2.
    Baker, M., Shah, M., Rosenthal, D.S.H., Roussopoulos, M., Maniatis, P., Giuli, T.J., Bungale, P.P.: A fresh look at the reliability of long-term digital storage. In: EuroSys, pp. 221–234 (2006)Google Scholar
  3. 3.
    Chervenak, A., Foster, I., Kesselman, C., Salisbury, C., Tuecke.: The data grid: Towards an architecture for the distributed management and analysis of large scientific datasets. Journal of Network and Computer Applications 23, 187–200 (2000)CrossRefGoogle Scholar
  4. 4.
    Foster, I.: What is the grid? A three point checklist. GRIDToday 1(6) (July 2002)Google Scholar
  5. 5.
    Hey, T., Trefethen, A.E.: The uk e-science core program and the grid. In: International Conference on Computational Science (1), pp. 3–21 (2002)Google Scholar
  6. 6.
    IEEE. IEEE Standard Computer Dictionary: A Compilation of IEEE Standard Computer Glossaries (1990)Google Scholar
  7. 7.
    Miles, S., Wong, S.C., Fang, W., Groth, P., Zauner, K.-P., Moreau, L.: Provenance-based validation of e-science experiments. Web Semant. 5(1), 28–38 (2007)CrossRefGoogle Scholar
  8. 8.
    Moore, R.: Digital libraries and data intensive computing. In: China Digital Library Conference, Beijing, China (September 2004)Google Scholar
  9. 9.
    Rajasekar, A., Wan, M., Moore, R., Schroeder, W.: A prototype rule-based distributed data management system. In: HPDC workshop on Next Generation Distributed Data Management, Paris, France (2006)Google Scholar
  10. 10.
    Rosenthal, D.S.H., Robertson, T., Lipkis, T., Reich, V., Morabito, S.: Requirements for digital preservation systems: A bottom-up approach. CoRR, abs/cs/0509018 (2005)Google Scholar
  11. 11.
    UML.Unified modeling language specification, version 1.4.2 formal/05-04-01. ISO/IEC 19501:2005, January 2005.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • José Barateiro
    • 1
  • Gonçalo Antunes
    • 2
  • Manuel Cabral
    • 2
  • José Borbinha
    • 2
  • Rodrigo Rodrigues
    • 3
  1. 1.LNEC - Laboratório Nacional de Engenharia CivilLisbonPortugal
  2. 2.Information Systems GroupINESC-IDLisbonPortugal
  3. 3.Max Planck Institute for Software SystemsKaiserslautern and SaarbrückenGermany

Personalised recommendations