Abstract
With the continuous expansion of network scale, fault tolerance and security in network operation have become increasingly important. The high vertex connectivity of the interconnection network indicates excellent fault tolerance. In order to address the drawbacks of traditional connectivity, the g-extra connectivity has been proposed to better reflect the fault tolerance of the network. RRect is a newly proposed server-centered data center network with good interconnection structure, and it has excellent flexibility and energy efficiency. In this paper, we focus on the logical structure of RRect, denoted by \(RR_{n,m,k}\). Firstly, we investigate the extra connectivity of \(RR_{n,m,k}\), and, in detail, we prove that for \(n \ge 4\), \(m \ge 1\), and \(k \ge 4\), the \(\{1, 2, 3\}\)-extra connectivity of \(RR_{n,m,k}\) is \(2km(n-1) + mn - 2\), \(3km(n-1) + mn - 3\), and \(4km(n-1) - 4m\), respectively, which are about 2, 3, and 4 times of its traditional connectivity. Secondly, we conduct numerical simulation experiments on the extra connectivity of \(RR_{n,m,k}\) and evaluate the experimental performance. The result can provide a more comprehensive measurement of its reliability.
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Acknowledgments
This work was supported in part by the Natural Science Foundation of China under Grants 61932013, 62172291, 62102195, and 62102196, in part by the Research Foundation of Jiangsu for 333 High-Level Talents Training Project under Grant BRA2020065, in part by the Natural Science Foundation of Jiangsu Province under Grant BK20200753, in part by Jiangsu Postdoctoral Science Foundation Funded Project under Grant 2021K096A, in part by the Future Network Scientific Research Fund Project under Grant FNSRFP-2021-YB-60, in part by the Natural Science Fund for Colleges and Universities in Jiangsu Province under Grant 21KJB520026, and in part by the Fundamental Research Funds for the Central Universities of Jilin University under Grant 93K172020K25.
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An, N., Lv, M., Fan, W. et al. Extra connectivity of the data center network—RRect. J Supercomput 80, 16452–16473 (2024). https://doi.org/10.1007/s11227-024-06077-x
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DOI: https://doi.org/10.1007/s11227-024-06077-x