The Reliability and Fault Tolerance of Conditional Recursive Networks ()
1. Introduction
Graph packing problem is one of the central problems in graph theory and combinatorial optimization. The Steiner tree packing problem has become a well-established area. For example, a given network
, we choose arbitrary
nodes such that one of them is a broadcaster, and all other nodes are either users or routers (also called switches). The broadcaster wants to broadcast as many streams of movies as possible, so that the users have the maximum number of choices. Each stream of movie is broadcasted via a tree connecting all the users and the broadcaster. Hence we need to find the maximum number Steiner trees connecting all the users and the broadcaster, and it is a Steiner tree packing problem. In 1985, Hager proposed the generalized connectivity of a graph to describe Steiner tree packing problem and investigate the reliability and the fault tolerance of large networks.
For a graph
with order
and a vertex set
with at least two vertices, an
-Steiner tree or a Steiner tree connecting
(or simply, an
-tree) is a subgraph
of
that is a tree with
. Two Steiner trees
and
connecting
are said to be internally disjoint if
and
. The generalized local connectivity
is the maximum number of internally disjoint
-trees connecting
in
. For an integer
with
, the generalized
-connectivity
of
is defined as
and
. Correspondingly, for any vertex set
with
, two
-trees
and
connecting
are said to be edge disjoint if
. And the generalized local edge-connectivity
is the maximum number of edge disjoint
-trees connecting
in
. For an integer
with
, the generalized
-edge-connectivity
of
is defined as
and
. The generalized
connectivity has attracted much attention from researchers in the area of graph theory, combinatorial optimization and theoretical computer sciences, and has become a well-established research topic [1]-[5] and a book [6]. As we have known, even for some very special graphs, it is very hard to get the exact values of their generalized
-connectivity for general
. In [7], S. Li determined the generalized 3-connectivity of graphs such as star graphs
and bubble-sort graphs
. J. Wang [8] considered the generalized 3-connectivity of burnt pancake graphs
and godan graphs. S. Zhao [9] determined the generalized 3-connectivity of alternating group graphs and
-star graphs.
In this paper, we focus on a new family of networks, called CRNs, which contain common networks and have the same structural properties as alternating group network. This new family of networks is recursive in terms of network structure, that is,
-dimensional CRNs can be decomposed into
node disjoint
dimensional CRNs (see Figure 1). We determined the generalized 3-connectivity and the generalized 3-edge-connectivity of CRNs and show that
.
All graphs considered in this paper are undirected, finite and simple. We refer to the book [10] for graph theoretical notation and terminology not described here. For a graph
, we by
,
,
,
,
and
denote the vertex set, the edge set, the maximum degree, the minimum degree, the degree of vertex
and the subgraph of
induced by
, respectively. As usual,
simplifies as
and we by
denote the set of positive integers
, by
denote the set of edge whose one end-vertex is in
and another in
.
2. Preliminary
We first define a new family of networks, called CRNs, which contain common networks and have the same structural properties as alternating group network.
Definition 1. [11] Let
be an integer and
be a complete graph. The
-order 1-dimensional conditional recursive networks (simplified CRNs), denoted by
, is isomorphic to
. For
, the
-order
-dimensional conditional recursive networks
for
and for
,
can be divided into
disjoint subnetworks
for
, where
.
usually denoted by
and satisfies the following conditions.
1) For any
,
.
2)
has a perfect matching
.
3) For any vertex
,
has only one external neighbor in
.
4)
can be decomposed into
disjoint subnetworks
when
.
Lemma 2. [11] Let
be
-order
-dimensional CRNs for
. Then
1)
is a
-regular graph with
vertices.
2)
.
To make it easier for the reader,
for
illustrated in Figure 1.
Figure 1. The CRNs
for
.
Lemma 3. [10] Let
be a
-connected graph, let
be a vertex of
and let
be a set of at least
vertices of
. Then there exists a
-fan in
from
to
, that is, there exists a family of
internally disjoint
-paths whose terminal vertices are distinct in
.
Lemma 4. [10] Let
be a
-connected graph, and let
with
. Then there exists a set of
pairwise vertex disjoint
-paths in
.
Lemma 5. [12] For every two integers
and
with
,
.
Observation 6. Let
be two integers with
. If
is a connected graph of order
, then
.
Lemma 7. [6] Let
be a connected graph of order
with minimum degree
. If there are two adjacent vertices of degree
, then
for
. Moreover, the upper bound is sharp.
Lemma 8. [13] Let
be a connected graph with
vertices. For every two integers
and
with
and
, if
, then
. Moreover, the lower bound is sharp.
3. Main Results
In this section, we determine the generalized 3-connectivity and 3-edge-connectivity of conditional recursive network CRNs
.
Theorem 9. Let
be integer and
be
-order
-dimensional CRNs. Then
Proof. Clearly,
for
, by lemma 5 we directly get
. Now consider the case for
, since
is
-regular, by lemma 7, we have
. Next, we show
. This suffice to prove that there exist at least
internally disjoint
-trees in
for any 3-element set
. For convenience narration, denote
, where
for
and suppose
.
Case 1
for some
.
Without loss of generality, suppose
. We proceed by induction on
. First, by lemma 8, we get
, the conclusion holds for
. Assume that the conclusion holds for
, this means that
for
. Now we consider
. Notice
with
for
and
, by hypothesis, we have
. This implies that there are at least
internally disjoint
-trees in
, named
. By the Definition 2(3), each of
has only one external neighbor in
and we can use the external neighbors construct a new
-tree in
, named
. Total up all, we get at least
internally disjoint
-trees
in
. The conclusion holds for
. By the above argument, we get
for
.
Case 2
and
for distinct
.
Without loss of generality, suppose
and
. By
, we know that
contains at least
internally disjoint
-paths in
, named
for
. Consider
and
, there exist a
-fan in
from
to
, they are internally disjoint
paths, denoted as
for
. Now select
and
, suppose
is the external neighbor of
in
. Let
,
. By lemma 4, there exist a set of
pairwise vertex disjoint
-paths in
, named
for
. Then we construct
for
and obtain
internally disjoint
-trees in
(See Figure 2). Thus we have
.
Figure 2. Illustration for Case 2.
Case 3
for distinct
Without loss of generality, suppose
and
. Notice that
and
are
-connected, there exist a
-fan in
from
to
, a
-fan in
from
to
and a
-fan in
from
to
. Suppose internally disjoint
paths are
, internally disjoint
paths are
and internally disjoint
paths are
for
. Now select
,
and
for
and suppose
and
respectively are the external neighbor and internal neighbor of
in
. Let
,
,
,
,
.
By lemma 4, there are
pairwise vertex disjoint
-paths, named
and
pairwise vertex disjoint
-paths, named
for
. Based on these analysis, we can construct
internally disjoint
-trees
for
in
(See Figure 3). Thus, we get
.
Clearly,
are
internally disjoint
-trees in
. This follows that
.
Figure 3. Illustration for Case 3.
Therefore,
for
. This completes the proof. □
By lemma 7 and Theorem 3.1, we directly get the generalized 3-edge-connectivity of CRNs.
Corollary 1. Let
be integer and
be
-order
-dimensional CRNs. Then
4. Conclusion
The generalized
-connectivity is a natural generalization of the traditional connectivity. It can measure the reliability and fault tolerance of interconnection networks
to connect any
vertices in
. In this paper, we investigate the generalized 3-connectivity of
, and show that
. This result not only enhances the theoretical system for CRN network reliability, but also provides a theoretical foundation for optimizing fault tolerance mechanisms in practical network design. Next, we will study the generalized
-connectivity of
for
.
Acknowledgements
The authors would like to thank anonymous reviewers for their valuable comments and suggestions to improve the quality of the article. This work is supported by the Innovation Projects of Qinghai Minzu University (No. 07M2024008) and AFSFQH (No. 2022-ZJ-753).