An Optimal Adaptive Diagnosis of Butterfly Networks
Summary :
System-level diagnosis is a very important technique for identifying faulty processors in a system with a large number of processors. Processors can test other processors, and then output the test results. The aim of diagnosis is to determine correctly the faulty/fault-free status of all processors. The adaptive diagnosis have been studied in order to perform diagnosis more efficiently. In this paper, we present adaptive diagnosis algorithms for a system modeled by butterfly networks. Our algorithms identify all faulty nodes in butterfly networks with the optimal number of tests. Then, we design another algorithm for diagnosis with very small constant number of rounds.
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- IEICE TRANSACTIONS on Fundamentals Vol.E86-A No.5 pp.1008-1018
- Publication Date
- 2003/05/01
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- Special Section PAPER (Special Section on Discrete Mathematics and Its Applications)
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Aya OKASHITA, Toru ARAKI, Yukio SHIBATA, "An Optimal Adaptive Diagnosis of Butterfly Networks" in IEICE TRANSACTIONS on Fundamentals,
vol. E86-A, no. 5, pp. 1008-1018, May 2003, doi: .
Abstract: System-level diagnosis is a very important technique for identifying faulty processors in a system with a large number of processors. Processors can test other processors, and then output the test results. The aim of diagnosis is to determine correctly the faulty/fault-free status of all processors. The adaptive diagnosis have been studied in order to perform diagnosis more efficiently. In this paper, we present adaptive diagnosis algorithms for a system modeled by butterfly networks. Our algorithms identify all faulty nodes in butterfly networks with the optimal number of tests. Then, we design another algorithm for diagnosis with very small constant number of rounds.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e86-a_5_1008/_p
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@ARTICLE{e86-a_5_1008,
author={Aya OKASHITA, Toru ARAKI, Yukio SHIBATA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={An Optimal Adaptive Diagnosis of Butterfly Networks},
year={2003},
volume={E86-A},
number={5},
pages={1008-1018},
abstract={System-level diagnosis is a very important technique for identifying faulty processors in a system with a large number of processors. Processors can test other processors, and then output the test results. The aim of diagnosis is to determine correctly the faulty/fault-free status of all processors. The adaptive diagnosis have been studied in order to perform diagnosis more efficiently. In this paper, we present adaptive diagnosis algorithms for a system modeled by butterfly networks. Our algorithms identify all faulty nodes in butterfly networks with the optimal number of tests. Then, we design another algorithm for diagnosis with very small constant number of rounds.},
keywords={},
doi={},
ISSN={},
month={May},}
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TY - JOUR
TI - An Optimal Adaptive Diagnosis of Butterfly Networks
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1008
EP - 1018
AU - Aya OKASHITA
AU - Toru ARAKI
AU - Yukio SHIBATA
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E86-A
IS - 5
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - May 2003
AB - System-level diagnosis is a very important technique for identifying faulty processors in a system with a large number of processors. Processors can test other processors, and then output the test results. The aim of diagnosis is to determine correctly the faulty/fault-free status of all processors. The adaptive diagnosis have been studied in order to perform diagnosis more efficiently. In this paper, we present adaptive diagnosis algorithms for a system modeled by butterfly networks. Our algorithms identify all faulty nodes in butterfly networks with the optimal number of tests. Then, we design another algorithm for diagnosis with very small constant number of rounds.
ER -
English
