OPTIMAL DIAGNOSTIC EXAMINATION FOR LOCAL DIAGNOSIS

Authors
Citation
R. Trobec, OPTIMAL DIAGNOSTIC EXAMINATION FOR LOCAL DIAGNOSIS, Computers and artificial intelligence, 17(4), 1998, pp. 293-304
Citations number
9
Categorie Soggetti
Computer Science Artificial Intelligence","Computer Science Artificial Intelligence
ISSN journal
02320274
Volume
17
Issue
4
Year of publication
1998
Pages
293 - 304
Database
ISI
SICI code
0232-0274(1998)17:4<293:ODEFLD>2.0.ZU;2-U
Abstract
The paper deals with mesh-connected massively-parallel systems affecte d by failures. The complexity of a local diagnostic procedure, based o n new definitions of the local k-diagnosability and the r-fault-tolera nce, is analysed. It depends on distances between individual fault clu sters and on fault cluster diameters. In particular cases the minimum distance between fault clusters can be enlarged on the account of the maximum fault cluster diameter, e.g., by merging of two clusters. The criterion function for the optimal diagnostic examination for local di agnosis is proposed.