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
Link To Document :
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