DocumentCode :
1536184
Title :
Diagnosis of parallel computers arbitrary connectivity
Author :
Tang, Qian-Yu ; Song, Xiaoyu
Author_Institution :
Dept. d´´IRO, Montreal Univ., Que., Canada
Volume :
48
Issue :
7
fYear :
1999
fDate :
7/1/1999 12:00:00 AM
Firstpage :
757
Lastpage :
761
Abstract :
Recently, D. Fussell and S. Rangarajan (1989) considered performing multiple tests to achieve correct diagnosis of constant degree connection structures. They showed that the probability of correctly identifying every processor approaches one as n→∞, where n is the number of processors in the system. In this paper, we give the performance analysis for the probabilistic diagnosis algorithm defined previously. In comparison with previous results, we first derive a different and formal proof for the analytic expression of the probability processor is correctly identified. We then show an exact analytic expression for the probability of the event that a faulty processor is correctly identified. Our result improves the previous results. Based on our new results, we finally give the asymptotic analysis for the algorithm. We demonstrate that the probability of correctly identifying every processor approaches one as n→∞
Keywords :
fault tolerant computing; parallel processing; performance evaluation; constant degree connection structures; formal proof; parallel computers arbitrary connectivity; performance analysis; probabilistic diagnosis algorithm; Algorithm design and analysis; Concurrent computing; Fault diagnosis; H infinity control; Multiprocessing systems; Performance analysis; Performance evaluation; Testing; Upper bound;
fLanguage :
English
Journal_Title :
Computers, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9340
Type :
jour
DOI :
10.1109/12.780885
Filename :
780885
Link To Document :
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