5 research outputs found

    3-extra connectivity of 3-ary n-cube networks

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    Let G be a connected graph and S be a set of vertices. The h-extra connectivity of G is the cardinality of a minimum set S such that G-S is disconnected and each component of G-S has at least h+1 vertices. The h-extra connectivity is an important parameter to measure the reliability and fault tolerance ability of large interconnection networks. The h-extra connectivity for h=1,2 of k-ary n-cube are gotten by Hsieh et al. in [Theoretical Computer Science, 443 (2012) 63-69] for k>=4 and Zhu et al. in [Theory of Computing Systems, arxiv.org/pdf/1105.0991v1 [cs.DM] 5 May 2011] for k=3. In this paper, we show that the h-extra connectivity of the 3-ary n-cube networks for h=3 is equal to 8n-12, where n>=3.Comment: 20 pages,1 figures. arXiv admin note: substantial text overlap with arXiv:1309.496

    The tightly super 3-extra connectivity and 3-extra diagnosability of crossed cubes

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    Many multiprocessor systems have interconnection networks as underlying topologies and an interconnection network is usually represented by a graph where nodes represent processors and links represent communication links between processors. In 2016, Zhang et al. proposed the gg-extra diagnosability of GG, which restrains that every component of G−SG-S has at least (g+1)(g +1) vertices. As an important variant of the hypercube, the nn-dimensional crossed cube CQnCQ_{n} has many good properties. In this paper, we prove that CQnCQ_{n} is tightly (4n−9)(4n-9) super 3-extra connected for n≥7n\geq 7 and the 3-extra diagnosability of CQnCQ_{n} is 4n−64n-6 under the PMC model (n≥5)(n\geq5) and MM∗^* model (n≥7)(n\geq7)

    On the gg-extra connectivity of graphs

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    Connectivity and diagnosability are two important parameters for the fault tolerant of an interconnection network GG. In 1996, F\`{a}brega and Fiol proposed the gg-extra connectivity of GG. A subset of vertices SS is said to be a \emph{cutset} if G−SG-S is not connected. A cutset SS is called an \emph{RgR_g-cutset}, where gg is a non-negative integer, if every component of G−SG-S has at least g+1g+1 vertices. If GG has at least one RgR_g-cutset, the \emph{gg-extra connectivity} of GG, denoted by κg(G)\kappa_g(G), is then defined as the minimum cardinality over all RgR_g-cutsets of GG. In this paper, we first obtain the exact values of gg-extra connectivity of some special graphs. Next, we show that 1≤κg(G)≤n−2g−21\leq \kappa_g(G)\leq n-2g-2 for 0≤g≤⌊n−32⌋0\leq g\leq \left\lfloor \frac{n-3}{2}\right\rfloor, and graphs with κg(G)=1,2,3\kappa_g(G)=1,2,3 and trees with κg(Tn)=n−2g−2\kappa_g(T_n)=n-2g-2 are characterized, respectively. In the end, we get the three extremal results for the gg-extra connectivity.Comment: 20 pages; 2 figure

    Relationship between Conditional Diagnosability and 2-extra Connectivity of Symmetric Graphs

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    The conditional diagnosability and the 2-extra connectivity are two important parameters to measure ability of diagnosing faulty processors and fault-tolerance in a multiprocessor system. The conditional diagnosability tc(G)t_c(G) of GG is the maximum number tt for which GG is conditionally tt-diagnosable under the comparison model, while the 2-extra connectivity κ2(G)\kappa_2(G) of a graph GG is the minimum number kk for which there is a vertex-cut FF with ∣F∣=k|F|=k such that every component of G−FG-F has at least 33 vertices. A quite natural problem is what is the relationship between the maximum and the minimum problem? This paper partially answer this problem by proving tc(G)=κ2(G)t_c(G)=\kappa_2(G) for a regular graph GG with some acceptable conditions. As applications, the conditional diagnosability and the 2-extra connectivity are determined for some well-known classes of vertex-transitive graphs, including, star graphs, (n,k)(n,k)-star graphs, alternating group networks, (n,k)(n,k)-arrangement graphs, alternating group graphs, Cayley graphs obtained from transposition generating trees, bubble-sort graphs, kk-ary nn-cube networks and dual-cubes. Furthermore, many known results about these networks are obtained directly

    Neighbor connectivity of kk-ary nn-cubes

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    The neighbor connectivity of a graph GG is the least number of vertices such that removing their closed neighborhoods from GG results in a graph that is disconnected, complete or empty. If a~graph is used to model the topology of an interconnection network, this means that the failure of a network node causes failures of all its neighbors. We completely determine the neighbor connectivity of kk-ary nn-cubes for all n≥1n\ge1 and k≥2k\ge2.Comment: 11 pages, 1 figur
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