Weka4WS: A WSRF-Enabled Weka Toolkit for Distributed Data Mining on Grids
作者： Domenico Talia , Paolo Trunfio , Oreste Verta
DOI: 10.1007/11564126_32
关键词:
摘要: This paper presents Weka4WS, a framework that extends the Weka toolkit for supporting distributed data mining on Grid environments. Weka4WS adopts emerging Web Services Resource Framework (WSRF) accessing remote algorithms and managing computations. The user interface is modified Explorer environment supports execution of both local tasks. On every computing node, WSRF-compliant Service used to expose all provided by library. describes design implementation using first release WSRF To evaluate efficiency proposed system, performance analysis executing tasks in different network scenarios presented.
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