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Designing an Intellligent Secision Aiding System Using a Multiagent Approach.

Béatrice Rumpler, Sylvie Calabretto: Designing an Intellligent Secision Aiding System Using a Multiagent Approach. ADBIS 1997: 339-342
@inproceedings{DBLP:conf/adbis/RumplerC97,
  author    = {B{\'e}atrice Rumpler and
               Sylvie Calabretto},
  title     = {Designing an Intellligent Secision Aiding System Using a Multiagent
               Approach},
  booktitle = {Proceedings of the First East-European Symposium on Advances
               in Databases and Information Systems (ADBIS'97), St.-Petersburg,
               September 2-5, 1997. Volume 1: Regular Papers},
  publisher = {Nevsky Dialect},
  year      = {1997},
  pages     = {339-342},
  ee        = {db/conf/adbis/RumplerC97.html},
  crossref  = {DBLP:conf/adbis/97},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

The project described in this paper deals with the design of a software product aimed to help users during the tuning process. It gives suggestions about a few crucial points, such as suitable hardware, database parameters and object distribution on the disks. Two scenarios have prevailed: if the database already exists, statistics automatically collected by Oracle will be extensively used. In the case of database creation, an existing module consisting of a theoretical performance evaluation tool will serve as a basic framework.

Knowledge modelling is to be based on KADS, a well-known technique for knowledge-based systems. This method will be used particularly for specific tuning tasks, while a multiagent approach will be preferred for designing the general application model.

Copyright © 1997 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.


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