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Building a biodiversity problem-solving environment

White, Richard John, Jones, Andrew, Pittas, Nick, Gray, Alex, Xu, Xuebiao, Sutton, Tim, Bromley, Oliver, Caithness, Neil, Fiddian, Nicholas John, Culham, Alastair, Bisby, Frank, Bhagwat, Shonil, Brewer, Peter, Yesson, Chris and Williams, Paul 2004. Building a biodiversity problem-solving environment. Presented at: UK e-Science All Hands Meeting 2004 (AHM2004), Nottingham, UK, 31 August – 3 September 2004. Proceedings of the UK e-Science All Hands Meeting 2004. The Engineering and Physical Sciences Research Council (EPSRC), pp. 776-783.

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Abstract

In the Biodiversity World project, our goal is to create a flexible and extensible Grid environment in which heterogeneous distributed biodiversity-related data sets and analytical tools are made available to be located and assembled by users unfamiliar with the Grid into workflows to perform complex scientific analyses. We have previously defined and described an architecture containing a number of kinds of components which conform to a common model of Grid interoperability. In this paper, we concentrate on the components and strategies which are important for the assembly of a complete working environment. We describe recent work on three main components of the environment: the workflow system, which provides both workflow design and enactment facilities based on Triana; the metadata repository, implemented using simple flexible entity-attribute-value triples; and the user interface, which consists of parts to control the workflow engine, the metadata repository and tasks as they are executed. We discuss various issues which arose during this work, some of which have not yet been fully resolved, including data set management and access, resource location and invocation, metadatabase representation, wrapping techniques for legacy resources, and user interaction with them.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher: The Engineering and Physical Sciences Research Council (EPSRC)
ISBN: 190442547X
Related URLs:
Last Modified: 06 Dec 2019 11:56
URI: http://orca-mwe.cf.ac.uk/id/eprint/43579

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