The 2-Extra Diagnosability of Alternating Group Graphs under the PMC Model and MM* Model
Vol.08No.01(2018), Article ID:82955,13 pages
10.4236/ajcm.2018.81004
Shiying Wang, Yunxia Ren
School of Mathematics and Information Science, Henan Normal University, Xinxiang, China
Copyright © 2018 by authors and Scientific Research Publishing Inc.
This work is licensed under the Creative Commons Attribution International License (CC BY 4.0).
http://creativecommons.org/licenses/by/4.0/
Received: January 25, 2018; Accepted: March 9, 2018; Published: March 12, 2018
ABSTRACT
Diagnosability of a multiprocessor system is one important study topic. In 2015, Zhang et al. proposed a new measure for fault diagnosis of the system, namely, g-extra diagnosability, which restrains that every fault-free component has at least fault-free nodes. As a favorable topology structure of interconnection networks, the n-dimensional alternating group graph AGn has many good properties. In this paper, we give that the 2-extra diagnosability of AGn is for under the PMC model and MM* model.
Keywords:
Interconnection Network, Diagnosability, Alternating Group Graph
1. Introduction
Many multiprocessor systems take interconnection networks (networks for short) as underlying topologies and a network is usually represented by a graph where nodes represent processors and links represent communication links between processors. We use graphs and networks interchangeably. For a multiprocessor system, study on the topological properties of its network is important. Furthermore, some processors may fail in the system, so processor fault identification plays an important role for reliable computing. The first step to deal with faults is to identify the faulty processors from the fault-free ones. The identification process is called the diagnosis of the system. A system is said to be t-diagnosable if all faulty processors can be identified without replacement, provided that the number of faults presented does not exceed t. The diagnosability of a system G is the maximum value of t such that G is t-diagnosable [1] [2] [3] . For a t-diagnosable system, Dahbura and Masson [1] proposed an algorithm with time complex , which can effectively identify the set of faulty processors.
Several diagnosis models were proposed to identify the faulty processors. One major approach is the Preparata, Metze, and Chien’s (PMC) diagnosis model introduced by Preparata et al. [4] . The diagnosis of the system is achieved through two linked processors testing each other. Another major approach, namely the comparison diagnosis model (MM model), was proposed by Maeng and Malek [5] . In the MM model, to diagnose a system, a node sends the same task to two of its neighbors, and then compares their responses. In 2005, Lai et al. [3] introduced a restricted diagnosability of multiprocessor systems called conditional diagnosability. They consider the situation that any fault set cannot contain all the neighbors of any vertex in a system. In 2012, Peng et al. [6] proposed a measure for fault diagnosis of the system, namely, g-good-neighbor diagnosability (which is also called g-good-neighbor conditional diagnosability), which requires that every fault-free node has at least g fault-free neighbors. In [6] , they studied the g-good-neighbor diagnosability of the n-dimensional hypercube under the PMC model. In [7] , Wang and Han studied the g-good-neighbor diagnosability of the n-dimensional hypercube under the MM* model. Yuan et al. [8] and [9] studied that the g-good-neighbor diagnosability of the k-ary n-cube under the PMC model and MM* model. The Cayley graph generated by the transposition tree has recently received considerable attention. In [10] [11] , Wang et al. studied the g-good-neighbor diagnosability of under the PMC model and MM* model for . In 2015, Zhang et al. [12] proposed a new measure for fault diagnosis of the system, namely, g-extra diagnosability, which restrains that every fault-free component has at least fault-free nodes. In [12] , they studied the g-extra diagnosability of the n-dimensional hypercube under the PMC model and MM* model. The n-dimensional bubble-sort star graph has many good properties. In 2016, Wang et al. [13] studied the 2-extra diagnosability of under the PMC model and MM* model.
As a favorable topology structure of interconnection networks, the n-dimensional alternating group graph has many good properties. In this paper, we give that the 2-extra diagnosability of is for under the PMC model and MM* model.
2. Preliminaries
In this section, some definitions and notations needed for our discussion, the alternating group graph, the PMC model and the MM* model are introduced.
2.1. Notations
A multiprocessor system is modeled as an undirected simple graph , whose vertices (nodes) represent processors and edges (links) represent communication links. Given a nonempty vertex subset of V, the induced subgraph by in G, denoted by , is a graph, whose vertex set is and the edge set is the set of all the edges of G with both endpoints in . The degree of a vertex v is the number of edges incident with v. The minimum degree of a vertex in G is denoted by . For any vertex v, we define the neighborhood of v in G to be the set of vertices adjacent to v. u is called a neighbor vertex or a neighbor of v for . Let . We use to denote the set . For neighborhoods and degrees, we will usually omit the subscript for the graph when no confusion arises. A graph G is said to be k-regular if for any vertex v, . The connectivity of a graph G is the minimum number of vertices whose removal results in a disconnected graph or only one vertex left when G is complete. Let and be two distinct subsets of V, and let the symmetric difference . Let be the components of . If , then is called the maximum component of . For graph-theoretical terminology and notation not defined here we follow [14] .
Let . A fault set is called a g-good-neighbor faulty set if for every vertex v in . A g-good-neighbor cut of G is a g-good-neighbor faulty set F such that is disconnected. The minimum cardinality of g-good-neighbor cuts is said to be the g-good-neighbor connectivity of G, denoted by . A fault set is called a g-extra faulty set if every component of has at least vertices. A g-extra cut of G is a g-extra faulty set F such that is disconnected. The minimum cardinality of g-extra cuts is said to be the g-extra connectivity of G, denoted by .
Proposition 2.1 [15] Let G be a connected graph. Then .
Proposition 2.2 [15] Let G be a connected graph. Then .
2.2. The PMC Model and the MM* Model
Under the PMC model [5] [8] , to diagnose a system G, two adjacent nodes in G are capable to perform tests on each other. For two adjacent nodes u and v in , the test performed by u on v is represented by the ordered pair . The outcome of a test is 1 (resp. 0) if u evaluate v as faulty (resp. fault-free). We assume that the testing result is reliable (resp. unreliable) if the node u is fault-free (resp. faulty). A test assignment T for G is a collection of tests for every adjacent pair of vertices. It can be modeled as a directed testing graph , where implies that u and v are adjacent in G. The collection of all test results for a test assignment T is called a syndrome. Formally, a syndrome is a function . The set of all faulty processors in G is called a faulty set. This can be any subset of . For a given syndrome s, a subset of vertices is said to be consistent with s if syndrome s can be produced from the situation that, for any such that , if and only if . This means that F is a possible set of faulty processors. Since a test outcome produced by a faulty processor is unreliable, a given set F of faulty vertices may produce a lot of different syndromes. On the other hand, different faulty sets may produce the same syndrome. Let denote the set of all syndromes which F is consistent with. Under the PMC model, two distinct sets and in are said to be indistinguishable if , otherwise, and are said to be distinguishable. Besides, we say is an indistinguishable pair if ; else, is a distinguishable pair.
Using the MM model, the diagnosis is carried out by sending the same testing task to a pair of processors and comparing their responses. We always assume the output of a comparison performed by a faulty processor is unreliable. The comparison scheme of a system is modeled as a multigraph, denoted by , where L is the labeled-edge set. A labeled edge represents a comparison in which two vertices u and v are compared by a vertex w, which implies . The collection of all comparison results in is called the syndrome, denoted by , of the diagnosis. If the comparison disagrees, then . otherwise, . Hence, a syndrome is a function from L to . The MM* model is a special case of the MM model. In the MM* model, all comparisons of G are in the comparison scheme of G, i.e., if , then . Similar to the PMC model, we can define a subset of vertices is consistent with a given syndrome and two distinct sets and in are indistinguishable (resp. distinguishable) under the MM* model.
A system is g-good-neighbor t-diagnosable if and are distinguishable for each distinct pair of g-good-neighbor faulty subsets and of V with and . The g-good-neighbor diagnosability of G is the maximum value of t such that G is g-good-neighbor t-diagnosable.
Proposition 2.3 ( [6] ) For any given system G, if .
In a system , a faulty set is called a conditional faulty set if it does not contain all the neighbor vertices of any vertex in G. A system G is conditional t-diagnosable if every two distinct conditional faulty subsets with , are distinguishable. The conditional diagnosability of G is the maximum number of t such that G is conditional t-diagnosable. By [16] , .
Theorem 2.4 [10] For a system , .
In [10] , Wang et al. proved that the 1-good-neighbor diagnosability of the Bubble-sort graph under the PMC model is for . In [17] , Zhou et al. proved the conditional diagnosability of is for under the PMC model. Therefore, when and when .
In a system , a faulty set is called a g-extra faulty set if every component of has more than g nodes. G is g-extra t -diagnosable if and only if for each pair of distinct faulty g-extra vertex subsets such that , and are distinguishable. The g-extra diagnosability of G, denoted by , is the maximum value of t such that G is g-extra t-diagnosable.
Proposition 2.5 [13] For any given system G, if .
Theorem 2.6 [13] For a system , .
Theorem 2.7 [13] For a system , .
2.3. Alternating Group Graph
In this section, we give the definition and some properties of the alternating
group graph. In the permutation , . For the convenience, we denote the permutation by . Every
permutation can be denoted by a product of cycles [18] . For example,
. Specially, . The product st of two
permutations is the composition function t followed by s, that is, . For terminology and notation not defined here we follow [18] .
Let , and let be the symmetric group on containing all permutations of . The alternating group is the subgroup of containing all even permutations. It is well known that is a generating set for . The n-dimensional alternating group graph is the graph with vertex set in which two vertices u, v are adjacent if and only if or , . The identity element of is (1). The graphs and are depicted in Figure 1. It is easy to see from the definition that is a -regular graph on vertices.
As a favorable topology structure of interconnection networks, alternating group graphs have been shown to have many desirable properties such as strong hierarchy, high connectivity, small diameter and average distance, etc. For details, see [19] for a comparison of the hypercube, the star graph and the alternating group graph.
Theorem 2.8 ( [19] ) is vertex transitive and edge transitive.
Theorem 2.9 ( [20] ) for .
We can partition into n subgraphs , where every vertex has a fixed integer i in the last position for . It is obvious that is isomorphic to for .
Proposition 2.10 [20] Let be defined as above. Then there are independent cross-edges between two different ‘s.
Proposition 2.11 [8] for . Furthermore, is tightly hyper connected for , that is to say, each minimum vertex cut creates exactly two components, one of which is an isolated vertex.
Proposition 2.12 ( [20] ) Let F be a vertex-cut of ( ) such that . Then, satisfies one of the following conditions:
1) has two components, one of which is an isolated vertex or an
Figure 1. for n = 3, 4.
edge;
2) has three components, two of which are isolated vertices.
Proposition 2.13 ( [20] ) Let F be a vertex-cut of ( ) such that . Then, satisfies one of the following conditions:
1) has two components, one of which is an isolated vertex, an edge or a path of length 2;
2) has three components, two of which are isolated vertices.
Proposition 2.14 [20] For , , for and .
Lemma 2.15 ( [21] ) Any 4-cycle in has the form where , , , for some with .
3. The 2-Extra Diagnosability of Alternating Group Graphs under the PMC Model
In this section, we will give 2-extra diagnosability of alternating group graph networks under the PMC model.
Theorem 3.1 ( [8] ) A system is g-extra t-diagnosable under the PMC model if and only if there is an edge with and for each distinct pair of g-extra faulty subsets and of V with and .
Lemma 3.2 Let , and let , . Then , , is a 2-extra cut of , and has two components and .
Proof. By , we have that is a path , , . Suppose . Then (see Figure 1). We prove this lemma (part) by induction on n. The result holds for . Assume and the result holds for , i.e., . We decompose into n sub-alternating group graph, , where each has a fixed i in the last position of the label strings which represents the vertices and is isomorphic to . Note
that , , , and for . Therefore, and .
Let for . Note that
is a 4-cycle. We prove this lemma (part) by induction on n. The result holds for . Assume and the result holds for , i.e., is a 2-extra cut of , and has two components and . Since , , , and for , by Propositions 2.10 and 2.11, is connected for . By inductive hypothesis, is connected. Since , by Proposition 2.14, for . Therefore, is connected. Note that and . Therefore, is a 2-extra cut of , and has two components and . The proof is complete.
A connected graph G is super g-extra connected if every minimum g-extra cut F of G isolates one connected subgraph of order . If, in addition, has two components, one of which is the connected subgraph of order , then G is tightly super g-extra connected.
Corollary 3.3 Let . Then is tightly super 2-extra connected.
Proof. Let . By Lemma 3.2, there is one such that F is a 2-extra cut of . Let F be a minimum 2-extra cut of ( ). Then . Suppose that . By Lemma 3.3, F is not a 2-extra cut of . Therefore, . Since F is a 2-extra cut of , by Lemma 2.14, has two components, one of which is a path of order 3. The proof is complete.
Lemma 3.4 Let . Then the 2-extra diagnosability of the n-dimensional alternating group graph under the PMC model, .
Proof. Let , and let , . By Lemma 3.2, , , is a 2-extra cut of , and has two components and . Therefore, and are both 2-extra faulty sets of with and . Since and , there is no edge of between and . By Theorem 3.1, we can deduce that is not 2-extra -diagnosable under PMC model. Hence, by the definition of 2-extra diagnosability, we conclude that the 2-extra diagnosability of is less than , i.e., . The proof is complete.
Lemma 3.5 Let . Then the 2-extra of the n-dimensional alternating group graph under the PMC model, .
Proof. By the definition of 2-extra diagnosability, it is sufficient to show that is 2-extra -diagnosable. By Theorem 3.1, to prove is 2-extra -diagnosable, it is equivalent to prove that there is an edge with and for each distinct pair of 2-extra faulty subsets and of with and .
We prove this statement by contradiction. Suppose that there are two distinct 2-extra faulty subsets and of with and , but the vertex set pair is not satisfied with the condition in Theorem 3.1, i.e., there are no edges between and . Without loss of generality, assume that . Assume . By the definition of , . We claim that for , i.e., for . When , , . So for . Assume that for . . It is sufficient to show that for . Let . Then is a quadratic function. When , .
Since , we have that , a contradiction to . Therefore, let as follows.
Since there are no edges between and , and is a 2-extra faulty set, has two parts and (for convenience). Thus, every component of has and every component of has . Similarly, every component of has when . Therefore, is also a 2-extra faulty set of . Note that is also a 2-extra faulty set when . Since there are no edges between and , is a 2-extra cut of . If , this is a contradiction to that is connected. Therefore, . Since , by Theorem 2.9, . Therefore, , which contradicts with that . So is 2-extra -diagnosable. By the definition of , . The proof is complete.
Combining Lemma 3.4 and 3.5, we have the following theorem.
Theorem 3.6 Let . Then the 2-extra diagnosability of the n-dimensional alternating group graph under the PMC model is .
4. The 2-Extra Diagnosability of Alternating Group Graphs under the MM* Model
Before discussing the 2-extra diagnosability of the n-dimensional alternating group graph under the MM* model, we first give a theorem.
Theorem 4.1 ( [1] [18] ) A system is g-extra t-diagnosable under the MM* model if and only if for each distinct pair of g-extra faulty subsets and of V with and satisfies one of the following conditions.
1) There are two vertices and there is a vertex such that and .
2) There are two vertices and there is a vertex such that and .
3) There are two vertices and there is a vertex such that and .
Lemma 4.2 Let . Then the 2-extra diagnosability of the n-dimensional alternating group graph under the MM* model, .
Proof. Let , and let , . By Lemma 3.2, , , is a 2-extra cut of , and has two components and . Therefore, and are both 2-extra faulty sets of with and . By the definitions of and , . Note , and . Therefore, both and are not satisfied with any one condition in Theorem 4.1, and is not 2-extra diagnosable. Hence, . Thus, the proof is complete.
A component of a graph G is odd according as it has an odd number of vertices. We denote by the number of add component of G.
Lemma 4.3 ( [13] Tutte’s Theorem) A graph has a perfect matching if and only if for all .
Lemma 4.4 Let . Then has a perfect matching.
Proof. Note that a perfect matching of is (see Figure 1). We prove this lemma by induction on n. The result holds for . Assume and the result holds for , i.e., has a perfect matching. We decompose into n sub-alternating group graph, , where each has a fixed i in the last position of the label strings which represents the vertices and is isomorphic to . Therefore, has a perfect matching. Let be a perfect matching of . Then is a perfect matching of . The proof is complete.
Lemma 4.5 Let . Then the 2-extra diagnosability of the n-dimensional alternating group graph under the MM* model, .
Proof. By the definition of 2-extra diagnosability, it is sufficient to show that is 2-extra -diagnosable.
Suppose, on the contrary, that there are two distinct 2-extra faulty subsets and of with and , but the vertex set pair is not satisfied with any one condition in Theorem 4.1. Without loss of generality, assume that . Assume . By the definition of , . Similar to the discussion on in Lemma 3.5, we can deduce . Therefore, .
Claim 1. has no isolated vertex.
Suppose, on the contrary, that has at least one isolated vertex . Since is one 2-extra faulty set, there is a vertex such that u is adjacent to . Meanwhile, since the vertex set pair is not satisfied with any one condition in Theorem 4.1, by the condition (3) of Theorem 4.1, there is at most one vertex such that u is adjacent to . Thus, there is just a vertex such that u is adjacent to . If , then . Since is a 2-extra faulty set, every component of has . Therefore, has no isolated vertex. Thus, let . Similarly, we can deduce that there is just a vertex such that a is adjacent to . Let be the set of isolated vertices in , and let H be the induced subgraph by the vertex set . Then for any , there are neighbors in .
By Lemmas 4.3 and 4.4, . Since , . Therefore, . Suppose . Then and hence , a contradiction to that . So .
Since the vertex set pair is not satisfied with the condition (1) of Theorem 4.1, and any vertex of is not isolated in H, we induce that there is no edge between and . Thus, is a vertex cut of . Since is a 2-extra faulty set of , we have that every component of H has and every component of has . Therefore, is also a 2-extra cut of . If , then this is a contradiction to that is connected. Therefore, . By Theorem 2.9, . Since , we have . Since every component of has , we have and hence and . Since is a 2-extra faulty set of , we have that when . Therefore, let . Similarly, we can deduce that is also a 2-extra cut of , and . Let , , and let be a path in (see Figure 2).
Since there is no edge between and , and , is a cut of . By the above result, . Since every component of H has , every component of has and every component of has , we have that every component of H has and every component of has . By Theorem 2.9, and is a minimum 2-extra cut of . Therefore, . By Corollary 3.3, is tightly super 2-extra connected, i.e., has two components, one of which is the path of length 3. Since , we have that . Thus,
and hence , a contradiction to . The proof Claim 1 is complete.
Let . By Claim 1, u has at least one neighbor in . Since the vertex set pair is not satisfied with any one condition in Theorem 4.1, by the condition (1) of Theorem 4.1, for any pair of adjacent vertices , there is no vertex such that and . It follows that u has no neighbor in . By the arbitrariness of u, there is no edge between and . Since and is a 2-extra faulty set, every component of has and every component of has . Suppose that . Then . Since is a 2-extra faulty set of , we have that is a 2-extra faulty set of . Since and , is a 2-extra cut of . Suppose that . If , then this is a contradiction to that is connected. Therefore,
Figure 2. Illustration of one isolated vertex w1.
. Similarly, every component of has . Therefore, is a 2-extra cut of . By Theorem 2.9, we have . Therefore, , which contradicts . Therefore, is 2-extra diagnosable and . The proof is complete.
Combining Lemma 4.2 and 4.5, we have the following theorem.
Theorem 4.6 Let . Then the 2-extra diagnosability of the the n-dimensional alternating group graph the MM* model is .
5. Conclusion
In this paper, we investigate the problem of 2-extra diagnosability of the n-dimensional alternating group graph under the PMC model and MM* model. It is proved that 2-extra diagnosability of the n-dimensional alternating group graph under the PMC model and MM* model is , where . The above results show that the 2-extra diagnosability is several times larger than the classical diagnosability of depending on the condition: 2-extra. The work will help engineers to develop more different measures of 2-extra diagnosability based on application environment, network topology, network reliability, and statistics related to fault patterns.
Acknowledgements
This work is supported by the National Natural Science Foundation of China (61772010).
Cite this paper
Wang, S.Y. and Ren, Y.X. (2018) The 2-Extra Diagnosability of Alternating Group Graphs under the PMC Model and MM* Model. American Journal of Computational Mathematics, 8, 42-54. https://doi.org/10.4236/ajcm.2018.81004
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