DocumentCode
3548469
Title
Probabilistic diagnosis algorithms tailored to system topology
Author
Rangarajan, S. ; Fussell, D.
Author_Institution
Maryland Univ., College Park, MD, USA
fYear
1991
fDate
25-27 June 1991
Firstpage
230
Lastpage
237
Abstract
The authors previously (1989) presented algorithms in which if at least two processors perform tests on any given processor, the probability of correct diagnosis approaches one as N to infinity if the number of tests performed by each tester on each processor under test is O(log N). The algorithm was based on a comparison approach to probabilistic system-level fault diagnosis in which processors may perform multiple tests on other processors. Here they present a new hierarchical testing algorithm for this model and show that asymptotically efficient testing can be done when the product of number of testers*number of tests each performs on a processor grows as O(log N) as N to infinity . The method thus preserves the topological flexibility of the previous method, while allowing the number of tests each tester must perform to be tailored to the requirements of the topology.<>
Keywords
fault tolerant computing; parallel algorithms; probabilistic logic; program verification; topology; asymptotically efficient testing; hierarchical testing algorithm; probabilistic diagnosis algorithms; system topology; Concurrent computing; Educational institutions; Fault diagnosis; Hypercubes; Large-scale systems; Multiprocessing systems; Performance evaluation; System testing; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Fault-Tolerant Computing, 1991. FTCS-21. Digest of Papers., Twenty-First International Symposium
Conference_Location
Montreal, Quebec, Canada
Print_ISBN
0-8186-2150-8
Type
conf
DOI
10.1109/FTCS.1991.146666
Filename
146666
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