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A unified approach to reliability and edge fault tolerance of cube-based interconnection networks under three hypotheses

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The topological structures of the interconnection networks of some parallel and distributed systems are designed as n-dimensional hypercube \(Q_n\) or n-dimensional folded hypercube \(FQ_n\) with \(N=2^n\) processors. For integers \(0\le k\le {n-1}\), let \(\mathcal {P}_1^k\), \(\mathcal {P}_2^k\) and \(\mathcal {P}_3^k\) be the property of having at least k neighbors for each processor, containing at least \(2^k\) processors and admitting average neighbors at least k, respectively. \(\mathcal {P}\)-conditional edge-connectivity of G, \(\lambda (\mathcal {P},G)\), is the minimum cardinality of faulty edge-cut, whose malfunction divides this network into several components, with each component satisfying the property of \(\mathcal {P}\). For each integer \(0\le k\le {n-1}\), and \(1\le i\le 3\), this paper offers a unified method to investigate the \(\mathcal {P}_i^k\)-conditional edge-connectivity of \(Q_n\) and \(FQ_n\). Exact value of \(\mathcal {P}_i^k\)-conditional edge-connectivity of \(Q_n\), \(\lambda (\mathcal {P}_i^k,Q_n)\), is \((n-k)2^k\), and that of \(\mathcal {P}_i^k\)-conditional edge-connectivity of \(FQ_n\), \(\lambda (\mathcal {P}_i^k,FQ_n)\), is \((n-k+1)2^k\). Our method generalizes the result of Guo and Guo in [The Journal of Supercomputing, 2014, 68:1235-1240] and the previous other results.

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Acknowledgements

This work was supported by Science and Technology Project of Xinjiang Uygur Autonomous Region (Grant No. 2020D01C069), National Natural Science Foundation of China (Grant No.1210011532 and No. 11771362), Doctoral Startup Foundation of Xinjiang University (Grant No.62031224736) and Tianchi Ph.D Program (No. tcbs201905). We would like to thank the referees for kind help and valuable suggestions.

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Correspondence to Wenshui Lin.

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Zhang, M., Liu, H. & Lin, W. A unified approach to reliability and edge fault tolerance of cube-based interconnection networks under three hypotheses. J Supercomput 78, 7936–7947 (2022). https://doi.org/10.1007/s11227-021-04185-6

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