Browse by author
Lookup NU author(s): Dr Arijit Mukherjee,
Professor Paul WatsonORCiD,
Dr Peter Li
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
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. © Springer-Verlag Berlin Heidelberg 2005.
Author(s): Alpdemir MN, Mukherjee A, Gounaris A, Paton NW, Fernandes AAA, Sakellariou R, Watson P, Li P
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Scientific Applications of Grid Computing. First International Workshop, SAG 2004
Year of Conference: 2005
Notes: book doi: 10.1007/b136149
Library holdings: Search Newcastle University Library for this item
Series Title: Lecture Notes in Computer Science