Cheng-Kuan Lin ; Tzu-Liang Kung ; Chun-Nan Hung ; Yuan-Hsiang Teng
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A Local Diagnosis Algorithm for Hypercube-like Networks under the BGM
Diagnosis Model
fi:7674 -
Fundamenta Informaticae,
July 7, 2022,
Volume 185, Issue 4
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https://doi.org/10.46298/fi.7674A Local Diagnosis Algorithm for Hypercube-like Networks under the BGM
Diagnosis ModelArticle
Authors: Cheng-Kuan Lin ; Tzu-Liang Kung ; Chun-Nan Hung ; Yuan-Hsiang Teng
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Cheng-Kuan Lin;Tzu-Liang Kung;Chun-Nan Hung;Yuan-Hsiang Teng
System diagnosis is process of identifying faulty nodes in a system. An efficient diagnosis is crucial for a multiprocessor system. The BGM diagnosis model is a modification of the PMC diagnosis model, which is a test-based diagnosis. In this paper, we present a specific structure and propose an algorithm for diagnosing a node in a system under the BGM model. We also give a polynomial-time algorithm that a node in a hypercube-like network can be diagnosed correctly in three test rounds under the BGM diagnosis model.
Volume: Volume 185, Issue 4
Published on: July 7, 2022
Accepted on: April 7, 2022
Submitted on: July 13, 2021
Keywords: Computer Science - Discrete Mathematics