Fault-tolerant Hamiltonian cycle strategy for fast node fault diagnosis based on PMC in data center networks
System-level fault diagnosis model, namely, the PMC model, detects fault nodes only through the mutual testing of nodes in the system without physical equipment. In order to achieve server nodes fault diagnosis in large-scale data center networks (DCNs), the traditional algorithm based on the PMC mo...
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| Format: | Article |
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AIMS Press
2024-01-01
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| Series: | Mathematical Biosciences and Engineering |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2024093?viewType=HTML |
| _version_ | 1797303987357089792 |
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| author | Zhipeng Zhao Zhenyu Hu Zhiyu Zhao Xiaoyu Du Tianfei Chen Lijun Sun |
| author_facet | Zhipeng Zhao Zhenyu Hu Zhiyu Zhao Xiaoyu Du Tianfei Chen Lijun Sun |
| author_sort | Zhipeng Zhao |
| collection | DOAJ |
| description | System-level fault diagnosis model, namely, the PMC model, detects fault nodes only through the mutual testing of nodes in the system without physical equipment. In order to achieve server nodes fault diagnosis in large-scale data center networks (DCNs), the traditional algorithm based on the PMC model cannot meet the characteristics of high diagnosability, high accuracy and high efficiency due to its inability to ensure that the test nodes are fault-free. This paper first proposed a fault-tolerant Hamiltonian cycle fault diagnosis (FHFD) algorithm, which tests nodes in the order of the Hamiltonian cycle to ensure that the test nodes are faultless. In order to improve testing efficiency, a hierarchical diagnosis mechanism was further proposed, which recursively divides high scale structures into a large number of low scale structures based on the recursive structure characteristics of DCNs. Additionally, we proved that $ 2(n-2){n^{k-1}} $ and $ (n-2){t_{n, k}}/{t_{n, 1}} $ faulty nodes could be detected for $ BCub{e_{n, k}} $ and $ DCel{l_{n, k}} $ within a limited time for the proposed diagnosis strategy. Simulation experiments have also shown that our proposed strategy has improved the diagnosability and test efficiency dramatically. |
| first_indexed | 2024-03-08T00:02:52Z |
| format | Article |
| id | doaj.art-40154305bba04676a83d49f0b15aa7d5 |
| institution | Directory Open Access Journal |
| issn | 1551-0018 |
| language | English |
| last_indexed | 2024-03-08T00:02:52Z |
| publishDate | 2024-01-01 |
| publisher | AIMS Press |
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| series | Mathematical Biosciences and Engineering |
| spelling | doaj.art-40154305bba04676a83d49f0b15aa7d52024-02-18T01:22:47ZengAIMS PressMathematical Biosciences and Engineering1551-00182024-01-012122121213610.3934/mbe.2024093Fault-tolerant Hamiltonian cycle strategy for fast node fault diagnosis based on PMC in data center networksZhipeng Zhao 0Zhenyu Hu1Zhiyu Zhao2Xiaoyu Du 3Tianfei Chen 4Lijun Sun 51. Key Laboratory of Grain Information Processing and Control (Henan University of Technology), Minister of Education, Zhengzhou, 450001, P.R. China 2. Henan Key Laboratory of Grain Photoelectric Detection and Control, Henan University of Technology, Zhengzhou 450001, P. R. China 3. College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, P. R. China4. College of Engineering Economics, Henan Finance University, Zhengzhou, Henan, 450001, P. R. China5. Luoyang Railway Station of China Railway Zhengzhou Bureau Group Co. LTD, Luoyang, Henan, 450001, P. R. China6. College of Computer and Information Engineering, Henan University, Kaifeng, Henan, 475000, P. R. China1. Key Laboratory of Grain Information Processing and Control (Henan University of Technology), Minister of Education, Zhengzhou, 450001, P.R. China 2. Henan Key Laboratory of Grain Photoelectric Detection and Control, Henan University of Technology, Zhengzhou 450001, P. R. China 3. College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, P. R. China1. Key Laboratory of Grain Information Processing and Control (Henan University of Technology), Minister of Education, Zhengzhou, 450001, P.R. China 2. Henan Key Laboratory of Grain Photoelectric Detection and Control, Henan University of Technology, Zhengzhou 450001, P. R. China 3. College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, P. R. ChinaSystem-level fault diagnosis model, namely, the PMC model, detects fault nodes only through the mutual testing of nodes in the system without physical equipment. In order to achieve server nodes fault diagnosis in large-scale data center networks (DCNs), the traditional algorithm based on the PMC model cannot meet the characteristics of high diagnosability, high accuracy and high efficiency due to its inability to ensure that the test nodes are fault-free. This paper first proposed a fault-tolerant Hamiltonian cycle fault diagnosis (FHFD) algorithm, which tests nodes in the order of the Hamiltonian cycle to ensure that the test nodes are faultless. In order to improve testing efficiency, a hierarchical diagnosis mechanism was further proposed, which recursively divides high scale structures into a large number of low scale structures based on the recursive structure characteristics of DCNs. Additionally, we proved that $ 2(n-2){n^{k-1}} $ and $ (n-2){t_{n, k}}/{t_{n, 1}} $ faulty nodes could be detected for $ BCub{e_{n, k}} $ and $ DCel{l_{n, k}} $ within a limited time for the proposed diagnosis strategy. Simulation experiments have also shown that our proposed strategy has improved the diagnosability and test efficiency dramatically.https://www.aimspress.com/article/doi/10.3934/mbe.2024093?viewType=HTMLdata centerfault-tolerant hamiltonian cycleserver node fault diagnosis |
| spellingShingle | Zhipeng Zhao Zhenyu Hu Zhiyu Zhao Xiaoyu Du Tianfei Chen Lijun Sun Fault-tolerant Hamiltonian cycle strategy for fast node fault diagnosis based on PMC in data center networks Mathematical Biosciences and Engineering data center fault-tolerant hamiltonian cycle server node fault diagnosis |
| title | Fault-tolerant Hamiltonian cycle strategy for fast node fault diagnosis based on PMC in data center networks |
| title_full | Fault-tolerant Hamiltonian cycle strategy for fast node fault diagnosis based on PMC in data center networks |
| title_fullStr | Fault-tolerant Hamiltonian cycle strategy for fast node fault diagnosis based on PMC in data center networks |
| title_full_unstemmed | Fault-tolerant Hamiltonian cycle strategy for fast node fault diagnosis based on PMC in data center networks |
| title_short | Fault-tolerant Hamiltonian cycle strategy for fast node fault diagnosis based on PMC in data center networks |
| title_sort | fault tolerant hamiltonian cycle strategy for fast node fault diagnosis based on pmc in data center networks |
| topic | data center fault-tolerant hamiltonian cycle server node fault diagnosis |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2024093?viewType=HTML |
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