WSRF services for composing distributed data mining applications on grids: functionality and performance
Pages 1080 - 1089
Abstract
The Web Services Resource Framework (WSRF) has recently emerged as the standard for the implementation of Grid applications. WSRF can be exploited for developing high-level services for distributed data mining applications. This paper describes Weka4WS, a framework that extends the widely-used Weka toolkit for supporting distributed data mining on WSRF-enabled Grids. Weka4WS adopts the WSRF technology for running remote data mining algorithms and managing distributed computations. The paper describes the implementation of Weka4WS using the WSRF libraries and services provided by Globus Toolkit 4. A performance analysis of Weka4WS for executing distributed data mining tasks in two network scenarios is presented.
References
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Published In
May 2006
1182 pages
ISBN:354034070X
Sponsors
- The University of Perugia: The University of Perugia
- Institute of Electrical Engineers (IEE), UK: Institute of Electrical Engineers (IEE), UK
- QUB: Queen's University Belfast
- The University of Minnesota, Minneapolis, MN: The University of Minnesota, Minneapolis, MN
- UOC: University of Calgary
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 08 May 2006
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