Fault-recovery and intelligent distributed system

Author

Ras, Zbigniew W.

Author_Institution

Dept. of Comput. Sci., North Carolina Univ., Charlotte, NC, USA

fYear

1990

fDate

23-25 May 1990

Firstpage

372

Lastpage

377

Abstract

A site of a distributed system can acquire new knowledge through learning from its closest neighbors. This new knowledge, stored at that site, is in a compressed form and is presented in the form of rules. In this way each site of the distributed system has some picture about the knowledge kept by its neighbors. The proposed scheme is characterized by fault-recovery and fault-tolerance capabilities. If one of the sites of the distributed system is somehow destroyed, then its information content can be (partially or fully) reconstructed by its closest neighbors, and if there is a need, the reconstructed site may unload the traffic facing them

Keywords

distributed processing; fault tolerant computing; knowledge acquisition; learning systems; closest neighbors; fault-recovery; fault-tolerance; intelligent distributed system; learning; rules; Computer networks; Computer science; Data processing; Database languages; Distributed information systems; Fault tolerance; Information systems; Intelligent systems; Knowledge based systems; Upper bound;

fLanguage

English

Publisher

ieee

Conference_Titel

Multiple-Valued Logic, 1990., Proceedings of the Twentieth International Symposium on

Conference_Location

Charlotte, NC

Print_ISBN

0-8186-2046-3

Type

conf

DOI

10.1109/ISMVL.1990.122650

Filename

122650