Reliability Analysis Toward a Family of Interconnection Networks and Data Center Networks
With the increasing network scale, hardware faults are inevitable. Therefore, research on network reliability under the condition of hardware failure is an important subject. In this article, we investigate <inline-formula><tex-math notation="LaTeX">h</tex-math></inlin...
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Published in | IEEE transactions on reliability pp. 1 - 14 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
IEEE
2025
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Online Access | Get full text |
ISSN | 0018-9529 1558-1721 |
DOI | 10.1109/TR.2025.3572117 |
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Abstract | With the increasing network scale, hardware faults are inevitable. Therefore, research on network reliability under the condition of hardware failure is an important subject. In this article, we investigate <inline-formula><tex-math notation="LaTeX">h</tex-math></inline-formula>-extra connectivity, <inline-formula><tex-math notation="LaTeX">h</tex-math></inline-formula>-extra diagnosability under the PMC and MM<inline-formula><tex-math notation="LaTeX">^{*}</tex-math></inline-formula> models, and <inline-formula><tex-math notation="LaTeX">t/m</tex-math></inline-formula>-diagnosability under the PMC model of recursive networks based on complete graphs (RNCGs) that include not only interconnection network Dragonfly but also data center networks-DCell, generalized DCell, and other unknown networks. In addition, we propose the fault-tolerant routing (F-TR) algorithm, FTPath, which constructs a F-TR in the largest component when the number of faulty nodes is less than the <inline-formula><tex-math notation="LaTeX">h</tex-math></inline-formula>-extra connectivity. Moreover, we evaluate the performance of RNCGs. First, we compare the fault-tolerant performance of RNCGs through experiments. The results show that the average path length constructed by the FTPath algorithm is close to that of the breadth-first search algorithm, and shorter than that of the depth-first search algorithm. Second, we evaluate the performance of this network for different parameters: <inline-formula><tex-math notation="LaTeX">h</tex-math></inline-formula>-extra connectivity, diagnosability under different strategies. The results show that the network has good fault tolerance and fault diagnosis capabilities. |
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AbstractList | With the increasing network scale, hardware faults are inevitable. Therefore, research on network reliability under the condition of hardware failure is an important subject. In this article, we investigate <inline-formula><tex-math notation="LaTeX">h</tex-math></inline-formula>-extra connectivity, <inline-formula><tex-math notation="LaTeX">h</tex-math></inline-formula>-extra diagnosability under the PMC and MM<inline-formula><tex-math notation="LaTeX">^{*}</tex-math></inline-formula> models, and <inline-formula><tex-math notation="LaTeX">t/m</tex-math></inline-formula>-diagnosability under the PMC model of recursive networks based on complete graphs (RNCGs) that include not only interconnection network Dragonfly but also data center networks-DCell, generalized DCell, and other unknown networks. In addition, we propose the fault-tolerant routing (F-TR) algorithm, FTPath, which constructs a F-TR in the largest component when the number of faulty nodes is less than the <inline-formula><tex-math notation="LaTeX">h</tex-math></inline-formula>-extra connectivity. Moreover, we evaluate the performance of RNCGs. First, we compare the fault-tolerant performance of RNCGs through experiments. The results show that the average path length constructed by the FTPath algorithm is close to that of the breadth-first search algorithm, and shorter than that of the depth-first search algorithm. Second, we evaluate the performance of this network for different parameters: <inline-formula><tex-math notation="LaTeX">h</tex-math></inline-formula>-extra connectivity, diagnosability under different strategies. The results show that the network has good fault tolerance and fault diagnosis capabilities. |
Author | Cheng, Baolei Wang, Yihong Fan, Weibei Wang, Yan Fan, Jianxi |
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Title | Reliability Analysis Toward a Family of Interconnection Networks and Data Center Networks |
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