Scheduled System Maintenance:
On May 6th, system maintenance will take place from 8:00 AM - 12:00 PM ET (12:00 - 16:00 UTC). During this time, there may be intermittent impact on performance. We apologize for the inconvenience.
By Topic

Using a Problem Solving Method for Dynamic Configuration of Data Mining Applications on the Grid

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
2 Author(s)
de Souza, F.F. ; Mestrado em Informdtica Aplic. - MIA, Univ. de Fortaleza - UNIFOR, Fortaleza ; Furtado, V.

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.

Published in:

Semantics, Knowledge and Grid, 2005. SKG '05. First International Conference on

Date of Conference:

27-29 Nov. 2005