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Using OGSA-DQP to Support Scientific Applications for the Grid

  • M. Nedim Alpdemir
  • Arijit Mukherjee
  • Anastasios Gounaris
  • Norman W. Paton
  • Alvaro A. A. Fernandes
  • Rizos Sakellariou
  • Paul Watson
  • Peter Li
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3458)

Abstract

The data management problems in grid computing are often challenging in many aspects such as data volumes, heterogeneity, structural complexity and semantic content. Thus, e-Scientists and scientific application developers stand to benefit from tools and environments that either hide, or help to manage, the inherent complexity involved in accessing and making concerted use of the diverse resources. This paper describes OGSA-DQP, a high level data integration tool for service-based grids, and illustrates how it can be used to support grid users, via an example scientific study in bioinformatics. The paper also discusses various options for employing OGSA-DQP to handle data integration tasks as service orchestrations involving both data and analysis services.

Keywords

Grave Disease Basic Local Alignment Search Tool Business Process Execution Language Service Orchestration Query Request 
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 2005

Authors and Affiliations

  • M. Nedim Alpdemir
    • 1
  • Arijit Mukherjee
    • 2
  • Anastasios Gounaris
    • 1
  • Norman W. Paton
    • 1
  • Alvaro A. A. Fernandes
    • 1
  • Rizos Sakellariou
    • 1
  • Paul Watson
    • 2
  • Peter Li
    • 2
  1. 1.Department of Computer ScienceUniversity of ManchesterManchesterUK
  2. 2.School of Computing ScienceUniversity of Newcastle upon TyneNewcastle upon TyneUK

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