Semantics, Knowledge and Grid, International Conference on (2005)
Nov. 27, 2005 to Nov. 29, 2005
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SKG.2005.138
Francisco Fl?vio de Souza , Universidade de Fortaleza - UNIFOR, Brazil
Vasco Furtado , Universidade de Fortaleza - UNIFOR, Brazil
In this paper, we describe how SMARTBASEG, a knowledge-based architecture, can optimize dynamically data mining (DM) applications for the Grid. SMARTBASEG can be seen as a layer that intercepts the submission of a DM application to the Grid, identifies the procedures to be parallelized and optimizes the composition of the job to be submitted to the Grid. The job composition process is done by means of a problem solving method (PSM) of configuration that adopts a propose-and-revise strategy. We present our approach by describing formally the implementation of the PSM in SMARTBASEG and by exemplifying the representation of heuristics for DM application optimization by means of constraints and repairs. Finally, we show the preliminary results we have obtained in some experiments.
V. Furtado and F. Fl?vio de Souza, "Using a Problem Solving Method for Dynamic Configuration of Data Mining Applications on the Grid," 2005 First International Conference on Semantics, Knowledge and Grid(SKG), Beijing, 2005, pp. 29.