Distributed processing for database design

J. M. Char, Vladimir S Cherkassky, H. Wechsler

Research output: Contribution to journalConference articlepeer-review

Abstract

We propose the distributed associative memory (DAM) model as a paradigm for fault-tolerant information retrieval and database organization. The fault tolerance is with respect to noise (errors) in the input key and/or corruption in the memory itself. Our approach is based on the DAM model originally introduced by Kohonen for image recognition. Essentially, DAM is a memory matrix which can modify the flow of information. Stimulus vectors are associated with response vectors and the result of this association is spread over the entire memory space. Because the information is distributed in memory, the overall function of memory becomes resistant to faults in memory and degraded (noisy) stimulus vectors. In order to verify our approach experimentally, we created a database of names taken from a student directory. We performed numerous experiments to evaluate fault tolerance of database retrieval. Finally, we developed a fault-tolerant relational database using the DAM paradigm.

Original languageEnglish (US)
Number of pages1
JournalNeural Networks
Volume1
Issue number1 SUPPL
DOIs
StatePublished - Jan 1 1988
EventInternational Neural Network Society 1988 First Annual Meeting - Boston, MA, USA
Duration: Sep 6 1988Sep 10 1988

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