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
  author    = {B{\'e}atrice Rumpler and
               Sylvie Calabretto},
  title     = {Designing an Intellligent Secision Aiding System Using a Multiagent
  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,}


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.

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