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.
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Alpdemir, M.N. et al. (2005). Using OGSA-DQP to Support Scientific Applications for the Grid. In: Herrero, P., Pérez, M.S., Robles, V. (eds) Scientific Applications of Grid Computing. SAG 2004. Lecture Notes in Computer Science, vol 3458. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11423287_2
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DOI: https://doi.org/10.1007/11423287_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25810-0
Online ISBN: 978-3-540-32010-4
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