Fault-tolerant database using distributed associative memories

Vladimir Cherkassky, Malathi Rao, Harry Wechsler

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


This paper describes an approach to fault-tolerant database retrieval using the distributed-associative-memory (DAM) paradigm. The fault tolerance is with respect to noise (errors) in the input key and/or corruption in the memory itself. Experimental results are presented to prove the feasibility of our approach. These results show how fault-tolerant retrieval is affected by various factors, such as the type of stored data, database size, and type of errors. We also show how the DAM model can be applied to implement a fault-tolerant relational database, in which selection operations may be easily performed with a noisy key/subkey, and complex queries can be answered correctly even if there are spelling inconsistencies in the internal representation.

Original languageEnglish (US)
Pages (from-to)135-158
Number of pages24
JournalInformation Sciences
Issue number1-2
StatePublished - Jan 1991

Bibliographical note

Funding Information:
*This work was supported in part by the Graduate and by NSF grant EET-8713563.


Dive into the research topics of 'Fault-tolerant database using distributed associative memories'. Together they form a unique fingerprint.

Cite this