Elsevier

Discrete Applied Mathematics

Volume 279, 31 May 2020, Pages 80-91
Discrete Applied Mathematics

Analysis on component connectivity of bubble-sort star graphs and burnt pancake graphs

https://doi.org/10.1016/j.dam.2019.10.018Get rights and content

Abstract

The -component connectivity of a graph G, denoted by cκ(G), is the minimum number of vertices whose removal from G results in a disconnected graph with at least components or a graph with fewer than vertices. This is a natural generalization of the classical connectivity of graphs defined in terms of the minimum vertex-cut. Since this parameter can be used to evaluate the reliability and fault tolerance of a graph G corresponding to a network, determining the exact values of cκ(G) is an important issue on the research topic of networks. However, it has been pointed out in Hsu et al. (2012) that determining -component connectivity is still unsolved in most interconnection networks even for small ’s. Let BSn and BPn denote the n-dimensional bubble-sort star graph and the n-dimensional burnt pancake graph, respectively. In this paper, for BSn, we determine the values: cκ3(BSn)=4n9 for n3, and cκ4(BSn)=6n16 and cκ5(BSn)=8n24 for n4. Similarly, for BPn, we determine the values: cκ3(BPn)=2n1 and cκ4(BPn)=3n2 for n4, and cκ5(BPn)=4n4 for n5.

Introduction

Graph connectivity plays a key role in the study of modern interconnection networks, and usually, such a network is modeled by a connected graph G=(V,E), where vertices represent processors and edges represent communication links between processors. For a graph G, a subgraph obtained from G by removing a set F of faulty vertices is denoted by GF. In particular, F is called a vertex-cut of a connected graph G if GF becomes disconnected. If G is not a complete graph, the connectivity κ(G) is defined to be the cardinality of a minimum vertex-cut of G. By convention, the connectivity of a complete graph with n vertices is defined to be n1. A graph G is k-connected provided κ(G)k. Accordingly, the connectivity of a graph G can be used to assess the vulnerability of the corresponding network and is an important measurement for the reliability and fault tolerance of networks [35].

Moreover, to further analyze the detailed situation of the disconnected graph caused by a vertex-cut, Harary [19] suggested studying the conditional connectivity with additional restrictions on the vertex-cut F and/or the component of GF. As a generalization of the classical connectivity, a notion concerning the number of components associated with the disconnected graph GF was first introduced by Chartrand et al. [5] (which is called the generalized connectivity) and Sampathkumar [29] (which is called the general connectivity), independently. Hereafter, we use a more suitable term called the component connectivity proposed by Hsu et al. [22]. An -component cut of a graph G is a set of faulty vertices whose removal from G results in a graph with at least components. The -component connectivity of a graph G, denoted by cκ(G), is the cardinality of a minimum -component cut of G. By the definition, it is obvious that cκ2(G)=κ(G) and cκ+1(G)cκ(G) for every positive integer .

So far, the exact values of -component connectivity are known only for a few classes of networks and almost all of them are about small ’s. For example, Hsu et al. [22] and Zhao et al. [38] dealt with the n-dimensional hypercube Qn for 2n+1 and n+22n4, respectively. Cheng et al. dealt with the n-dimensional hierarchical cubic networks HCN(n) for 2n+1 [6], the n-dimensional complete cubic networks CCN(n) for 2n+1 [7], and the generalized exchanged hypercubes GEH(s,t) with st for 2s+1 [8]. Zhao and Yang [37] dealt with the n-dimensional folded hypercube FQn for 1n1 and n8. Zhao et al. [36] dealt with the n-dimensional dual cubes Dn for 1n1 and n2. In addition, Chang et al. [3], [4] dealt with the alternating group networks ANn for =3,4 and Guo et al. [16] dealt with the twisted cubes for =3,4. Note that the number of vertices of graphs in the above classes is an exponent related to n.

In this paper, we study the -component connectivity of bubble-sort star graphs (BS graphs for short) and burnt pancake graphs (BP graphs for short), which will be defined later in Section 2. Although BS graphs have emerged for more than twenty years and were proposed by Chou et al. [10], the structural properties of such graphs are extensively and intensively studied only recently. Due to that a BS graph is a graph with the composition of edges for two kinds of graphs called star graphs and bubble-sort graphs, as expected, BS graphs have the advantage in diverse connectivities, such as the fault-tolerant maximally local connectivity [2], the h-extra connectivity for 1h3 [18], [33], the 2-good-neighbor connectivity [34], and the strong connectivity allowing processors and communication links to fail simultaneously [32]. Moreover, different types of diagnosability in measuring the reliability of BS graphs were also discussed recently, such as the conditional diagnosability under the MM model and PMC model [17], the 2-extra diagnosability under the PMC model and MM* model [33], the 2-good-neighbor diagnosability under the PMC model and MM* model [34], and the pessimistic diagnosability [15]. Let BSn denote the n-dimensional bubble-sort star graph. In this paper, we obtain the following results that cκ3(BSn)=4n9 for n3, and cκ4(BSn)=6n16 and cκ5(BSn)=8n24 for n4.

Gates and Papadimitriou [14] introduced the well-known burnt pancake problem in 1979. This problem is also known as sorting by prefixing reversals and relates to the construction of networks of parallel processors. Let BPn denote the n-dimensional burnt pancake graph. Kaneko [25] proposed a polynomial-time algorithm to construct n vertex-disjoint paths from a source to n destinations in BPn. He also showed in [26] that for any faulty subset of vertices F, the graph BPnF still has a fault-free Hamiltonian cycle (resp. a fault-free Hamiltonian path between any pair of non-faulty vertices) when |F|n2 (resp. |F|n3). Chin et al. [9] proved that BPn is super spanning connected if and only if n2. Iwasaki and Kaneko [24] gave a fault-tolerant routing algorithm for BPn. Compeau [11] determined the girth (i.e., the length of a shortest cycle) of BPn. Lai et al. [27] showed that BPn admits the property of n mutually independent Hamiltonian cycles. Hu and Liu [23] determined the (conditional) matching preclusion number of BPn. Moreover, Song et al. investigated the classic diagnosability and the conditional diagnosability of BPn under the comparison model [30] and PMC model [31], respectively. In this paper, we obtain the following results that cκ3(BPn)=2n1 and cκ4(BPn)=3n2 for n4, and cκ5(BPn)=4n4 for n5.

The remaining part of this paper is organized as follows. Section 2 formally gives the definitions of bubble-sort star graphs and burnt pancake graphs. In addition, we introduce some preliminary results that will be used later. Section 3 determines the -component connectivity of BSn for =3,4,5. Section 4 determines the -component connectivity of BPn for =3,4,5. The last section contains our conclusion.

Section snippets

Preliminary

Let G=(V,E) be a simple and undirected graph with the vertex set V(G) and edge set E(G). The subgraph of G induced by a vertex set UV(G) is denoted by G[U]. A maximally connected subgraph of G is called a component. A component is trivial if it has only one vertex (i.e., a singleton); otherwise, it is nontrivial. For a vertex uV(G), the neighborhood of u in G, denoted by NG(u), is the set of vertices adjacent to u in G. For a subset UV(G), the neighborhood of U in G is defined as NG(U)=uUNG

The component connectivity of BSn

An independent set S in a graph G is a subset of V(G) such that any two vertices of S are nonadjacent in G.

Lemma 3.1

Let S be an independent set of BSn for n4. Then the following assertions hold.

    (1)

    If |S|=2, then |N(S)|4n9.

    (2)

    If |S|=3, then |N(S)|6n16.

Proof

For (1), let S={u,v}. By Lemma 2.1(4), u and v have at most three common neighbors, i.e., |N(u)N(v)|3. Since BSn is (2n3)-regular by Lemma 2.1(5), |N(S)|=|N(u)|+|N(v)||N(u)N(v)|2(2n3)3=4n9.

For (2), let S={v1,v2,v3}. We prove the result by

The component connectivity of BPn

First, we consider the lower bounds of the number of neighbors for an independent set of BPn as follows.

Lemma 4.1

Let S be an independent set of BPn for n2. Then the following assertions hold.

    (1)

    If |S|=2, then |N(S)|2n1.

    (2)

    If |S|=3, then |N(S)|3n2.

    (3)

    If |S|=4, then |N(S)|4n4.

Proof

For (1), let S={u,v}. By Lemma 2.6(2), BPn contains no 4-cycle. Thus, u and v have at most one common neighbor, and |N(S)|=|N(u)|+|N(v)||N(u)N(v)|2n1.

For (2), let S={v1,v2,v3}. By Lemma 2.6(2), BPn contains no 6-cycle.

Concluding remarks

In this paper, we study the -component connectivity of BS graphs and BP graphs for 35. We have shown that results of BS graphs are cκ3(BSn)=4n9 for n3, and cκ4(BSn)=6n16 and cκ5(BSn)=8n24 for n4. Also, we have shown that results of BP graphs are cκ3(BPn)=2n1 and cκ4(BPn)=3n2 for n4, and cκ5(BPn)=4n4 for n5. So far the problem of determining cκ(BSn) and cκ(BPn) for 6 is still unsolved.

Fàbrega and Fiol [12] introduced another measurement of the reliability and fault tolerance

Acknowledgments

We would like to thank the anonymous referees for a number of helpful comments and suggestions.

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      Therefore, the connectivity of networks also has some new extensions and generalizations. For instance, super connectivity [11,27], extra connectivity [12,38], component connectivity [2,15,32], spanning connectivity [3], restricted connectivity [38], structure connectivity [29], and generalized connectivity [18]. In this paper, we study the neighbor connectivity and edge neighbor connectivity on the two kinds of graphs, namely pancake graphs and burnt pancake graphs, which will be defined later in Section 2.

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    This work was supported by the China Postdoctoral Science Foundation under the project 2018M631322 (M.-M. Gu), by the National Natural Science Foundation of China under the projects 11971054, 11731002 and the 111 Project of China B16002 (R.-X. Hao), and by the Ministry of Science and Technology of Taiwan under the grants MOST-108-2410-H-606-008 (S.-M. Tang) and MOST-107-2221-E-141-001-MY3 (J.-M. Chang).

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