Globally optimal diagnosis in systems with random faults

Author

Diks, Krzysztof ; Pelc, Andrzej

Author_Institution

Inst. of Inf., Warsaw Univ., Poland

Volume

46

Issue

2

fYear

1997

fDate

2/1/1997 12:00:00 AM

Firstpage

200

Lastpage

204

Abstract

We consider probabilistic diagnosis in multiprocessor systems. Processors can test one another; fault-free processors give correct test results, while faulty testers are unpredictable. Processors fail independently with constant probability p<1/2 and the goal is to identify correctly the status of all processors, based on the set of test results. A diagnosis algorithm is globally optimal if it has the highest probability of correctness among all (deterministic) diagnosis algorithms. We give fast globally optimal diagnosis algorithms for a class of test assignments including complete directed graphs and directed acyclic graphs. This is the first time that globally optimal diagnosis is given in a probabilistic model without any assumptions on the behavior of faulty processors

Keywords

directed graphs; fault tolerant computing; multiprocessing systems; diagnosis algorithm; directed acyclic graphs; directed graphs; fault-free processors; faulty processors; globally optimal diagnosis; multiprocessor systems; probabilistic diagnosis; probabilistic model; systems with random faults; Application software; Codes; Fault diagnosis; Feedback; Finishing; Induction generators; Mathematical model; Shift registers; Testing; Writing;

fLanguage

English

Journal_Title

Computers, IEEE Transactions on

Publisher

ieee

ISSN

0018-9340

Type

jour

DOI

10.1109/12.565598

Filename

565598