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.
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Talia, D., Trunfio, P., Verta, O. (2006). WSRF Services for Composing Distributed Data Mining Applications on Grids: Functionality and Performance. In: Gavrilova, M., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3980. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751540_118
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DOI: https://doi.org/10.1007/11751540_118
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34070-6
Online ISBN: 978-3-540-34071-3
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