Using OGSA-DQP to support scientific applications for the grid

Authors:
M. Nedim Alpdemir;Arijit Mukherjee;Anastasios Gounaris;Norman W. Paton;Alvaro A. A. Fernandes;Rizos Sakellariou;Paul Watson;Peter Li
Affiliations:
Department of Computer Science, University of Manchester, Manchester, UK;School of Computing Science, University of Newcastle upon Tyne, Newcastle upon Tyne, UK;Department of Computer Science, University of Manchester, Manchester, UK;Department of Computer Science, University of Manchester, Manchester, UK;Department of Computer Science, University of Manchester, Manchester, UK;Department of Computer Science, University of Manchester, Manchester, UK;School of Computing Science, University of Newcastle upon Tyne, Newcastle upon Tyne, UK;School of Computing Science, University of Newcastle upon Tyne, Newcastle upon Tyne, UK
Venue:
SAG'04 Proceedings of the First international conference on Scientific Applications of Grid Computing
Year:
2004

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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.