Fault diagnosability of data center networks
Mei-Mei Gu, Rong-Xia Hao, Shuming Zhou

TL;DR
This paper investigates the diagnosability of data center networks, establishing a relationship between connectivity and diagnosability, and provides explicit diagnosability formulas for the networks $D_{k,n}$ under common models.
Contribution
It solves an open problem by relating $R^g$-connectivity and $g$-good-neighbor diagnosability for regular graphs and derives explicit diagnosability formulas for $D_{k,n}$ networks.
Findings
Established that $t_g(G)= ext{appa}^g(G)+g$ under certain conditions.
Derived the $g$-good-neighbor diagnosability of $D_{k,n}$ as $(g+1)(k-1)+n+g$.
Proved $D_{k,n}$ is tightly super $(n+k-1)$-connected and characterized the largest component after vertex removal.
Abstract
The data center networks , proposed in 2008, has many desirable features such as high network capacity. A kind of generalization of diagnosability for network is -good-neighbor diagnosability which is denoted by . Let be the -connectivity. Lin et. al. in [IEEE Trans. on Reliability, 65 (3) (2016) 1248--1262] and Xu et. al in [Theor. Comput. Sci. 659 (2017) 53--63] gave the same problem independently that: the relationship between the -connectivity and of a general graph need to be studied in the future. In this paper, this open problem is solved for general regular graphs. We firstly establish the relationship of and , and obtain that under some conditions. Secondly, we obtain the -good-neighbor diagnosability of which are for…
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Taxonomy
TopicsInterconnection Networks and Systems · Graphene research and applications · Radiation Effects in Electronics
Fault diagnosability of data center networks
Mei-Mei Gu
Rong-Xia Hao
Shuming Zhou
Department of Mathematics, Beijing Jiaotong University, Beijing, 100044, China
School of Mathematics and Computer Science, Fujian Normal University, Fuzhou, Fujian 350108, China
Abstract
The data center networks , proposed in 2008, has many desirable features such as high network capacity. A kind of generalization of diagnosability for network is -good-neighbor diagnosability which is denoted by . Let be the -connectivity. Lin et. al. in [IEEE Trans. on Reliability, 65 (3) (2016) 1248–1262] and Xu et. al in [Theor. Comput. Sci. 659 (2017) 53–63] gave the same problem independently that: the relationship between the -connectivity and of a general graph need to be studied in the future. In this paper, this open problem is solved for general regular graphs. We firstly establish the relationship of and , and obtain that under some conditions. Secondly, we obtain the -good-neighbor diagnosability of which are for under the PMC model and the MM model, respectively. Further more, we show that is tightly super -connected for and and we also prove that the largest connected component of the survival graph contains almost all of the remaining vertices in when vertices removed.
keywords:
Data center network; -good-neighbor diagnosability; PMC model; MM model; Fault-tolerance.
1 Introduction
The study of interconnection networks has been an important research area for parallel and distributed computer systems. A network can be modeled as a graph, in which vertices and edges correspond to processors and communication links, respectively. Network reliability is one of the major factors in designing the topology of an interconnection network. With the rapid development of multiprocessor systems, processor failure is inevitable along with the number of processors increasing. The process of identifying all the faulty units in a system is called as system-level diagnosis. For the purpose of self-diagnosis of a system, a number of models have been proposed for diagnosing faulty processors in a network. Among the proposed models, PMC model [26] and comparison model (MM model) [24] are widely used. In the PMC model, every processor can test the processor that is adjacent to it and only the fault-free processor can guarantee reliable outcome. In the MM model, to diagnose the system, a processor sends the same task to one pair of its neighbors, and then compares their responses. A system is said to be -diagnosable if all faulty units can be identified provided the number of faulty units present does not exceed . The diagnosability is the maximum number of faulty processors which can be correctly identified. In 2005, Lai et al. [19] introduced a restricted diagnosability of the system called conditional diagnosability by assuming that it is impossible that all neighbors of one vertex are faulty simultaneously. The diagnosabilities and conditional diagnosabilities of many networks are studied in literatures [1]-[3], [11]-[14], [15], [17]-[18], [21], [22], [28], [37] etc. Inspired by this concept, Peng et al. [25] then proposed the -good-neighbor diagnosability, which requires every fault-free vertex has at least fault-free neighbors.
Definition 1**.**
A fault set is a -good-neighbor faulty set if for every vertex . A -good-neighbor cut of a graph is a -good-neighbor faulty set such that is disconnected. For an arbitrary graph , -good-neighbor cuts do not always exist for some . A graph is called an -graph if it contains at least one -good-neighbor cut. For an -graph , the minimum cardinality of - good-neighbor cuts is said to be the -connectivity of , denoted by . The parameter is equal to extra connectivity which is proposed by Fábrega and Fiol [10], where is the cardinality of a minimum set such that is disconnected and each component of has at least vertices.
Definition 2**.**
A system is -good-neighbor -diagnosable if and are distinguishable (the definition of distinguishable is in Section 2), for each distinct pair of -good-neighbor faulty sets and of with and . The -good-neighbor diagnosability of a graph is the maximum value of such that is -good-neighbor -diagnosable.
The classical diagnosability relies on an assumption that all neighbors of each vertex in a parallel system can potentially fail at the same time. But the -good-neighbor diagnosability is superior to the classical diagnosability in terms of measuring diagnosability for large-scale parallel systems. The problem of determining the -good-neighbor diagnosability for of numerous networks, for examples, see [29] and [30], has received much attention in recent years. But little is known about with a general non-negative integer for networks except for hypercubes, -ary -cubes etc. Peng et al. [25] showed that the -good-neighbor diagnosability of the -dimensional hypercube under the PMC model is for . Yuan et al. [35] and [36] studied the -good-neighbor diagnosability of the -ary -cubes () and -ary -cubes, respectively, under the PMC model and MM model. Wang and Han [32] determined the -good-neighbor diagnosability of the -dimensional hypercube under the MM model.
Xu et al. [23] and Lin et al. [34] gave the same problem independently that the relationship between the -connectivity and of a general graph need to be studied in the future.
In this paper, we firstly study the relation between -good-neighbor diagnosability and -connectivity for regular graphs and obtain the following Theorem 1. Secondly, we prove that is tightly super -connected for and and we also prove that the largest connected component of the survival graph contains almost all of the remaining vertices in when almost vertices are removed. Thirdly, we obtain that the -good-neighbor diagnosability of which are for under the PMC model and the MM model, respectively. As direct corollaries, the -good-neighbor diagnosability of the -star networks and the -arrangement graphs are obtained.
Theorem 1**.**
Let , and be non-negative integers. Let be an -regular connected -graph with order . Suppose has a complete subgraph of order , where . Let be the -connectivity of . If satisfies the conditions (1) and (2) under the PMC model; or satisfies the conditions (1),(2) and (3) under the MM model.
- (1)
there exists a minimum -good-neighbor cut such that has exactly two components, one of which is isomorphic to , where ; 2. (2)
; 3. (3)
for any and , is either connected; or has two components, one of which is a trivial component; or has two components, one of which is an edge; or has three components, two of which are trivial components.
Then, for .
The remainder of this paper is organized as follows. Section 2 introduces some necessary notations and basic lemmas. Our main results are given in Section 3. As applications of our main result, Section 4 concentrates on the -good-neighbor diagnosability of three kinds of graphs: data center networks , the -star networks , the -arrangement graphs . Section 5 concludes the paper.
2 Preliminaries
In this section, we give some terminologies and notations of combinatorial network theory. We follow [33] for terminologies and notations not defined here.
We use a graph, denoted by , to represent an interconnection network, where a vertex represents a processor and an edge represents a link between vertices and . Two vertices and are adjacent if , the vertex is called a neighbor of , and vice versa. For a vertex , let denote a set of vertices in adjacent to . The cardinality represents the degree of in , denoted by (or simply ), the minimum degree of . For a vertex set , the neighborhood of in is defined as . If for any vertex in , then is -regular. Let be a connected graph, if is still connected for any with , then is -connected. A subset is a vertex cut if is disconnected. The connectivity of a graph , denoted by , defined as the minimum number of vertices whose removal results in a disconnected or trivial graph. A -regular graph is loosely super -connected if any one of its minimum vertex cuts is a set of the neighbors of some vertex. If, in addition, the deletion of a minimum vertex cut results in a graph with two components (one of which has only one vertex), then the graph is tightly super -connected. A graph is a subgraph of a graph if and . The components of a graph are its maximally connected subgraphs. A component is trivial if it has only one vertex; otherwise, it is nontrivial.
To diagnose faults, a number of tests are performed on vertices. The collection of all test results is called a syndrome. Let be a subset of . is said to be compatible with a syndrome if can arise from the circumstance that all vertices in are faulty and all vertices in are fault free. A system is said to be diagnosable if, for every syndrome , there is a unique such that is compatible with . Let is compatible with . Two distinct subsets are said to be indistinguishable if and only if ; otherwise, are said to be distinguishable. The symmetric difference of and is defined as the set .
The following two lemmas characterize a graph for -good-neighbor -diagnosable under the PMC model and the MM model, respectively.
Lemma 1**.**
([27, 35])* A system is -good-neighbor -diagnosable under the PMC model if and only if there is an edge with and for each distinct pair of -good-neighbor faulty sets and of with and .*
Lemma 2**.**
([8, 35])* A system is -good-neighbor -diagnosable under the MM model if and only if for each distinct pair of -good-neighbor faulty sets and of with and satisfies one of the following conditions.*
- (1)
There are two vertices and there is a vertex such that and . 2. (2)
There are two vertices and there is a vertex such that and . 3. (3)
There are two vertices and there is a vertex such that and .
3 Proof of Theorem 1
Proof. First, we prove under the PMC and the MM model.
Let be the minimum -good-neighbor cut of satisfies Condition (1), i.e. has two components, one of which is isomorphic to , say . Clearly, , and . Let , , see Figure 1. Then , , and . It implies and are -good-neighbor faulty sets of . Note that , , there is no edge of between and . By Lemma 1, is not -good-neighbor -diagnosable under the PMC model, so under the PMC model.
Note that , , and do not satisfy any one condition in Lemma 2. By Lemma 2, is not -good-neighbor -diagnosable under the MM model, so under the MM model.
Next we prove , i.e., is -good-neighbor -diagnosable.
(I) For the PMC model, it is equivalent to prove Claim 1.
Claim 1**.**
For each distinct pair of -good-neighbor faulty sets and of with and , there is an edge with and .
Proof of Claim 1. Suppose, on the contrary, that there are two distinct -good-neighbor faulty sets and of with and , there is no edge between and .
Without loss of generality, assume that . If , then , it is a contradiction. Therefore, .
Note that is a -good-neighbor faulty set, . Because there exists no edge between and , and . Similarly, if . Thus, is a -good-neighbor cut because of and , so . Note that , it follows that . Then, , which contradicts with . The proof of Claim 1 is completed.
(II) Now we consider the MM model. We prove , i.e., is -good-neighbor -diagnosable.
Suppose, on the contrary, that there are two distinct -good- neighbor faulty sets and of with and , but does not satisfy any one condition in Lemma 2. Clearly, because of . Without loss of generality, assume that . If , then , it is impossible by Condition (2). Therefore, .
Claim 2**.**
* has no trivial component.*
Proof of Claim 2. If , it implies that , and . Let be the set of trivial components in and . Assume . Then and . For any , note that (resp. ) is a -good-neighbor faulty set, by Lemma 2, there is exactly one vertex (resp. ) such that (resp. ) is adjacent to .
Note that , then has neighbors in , it implies that . One has , so . If , then which contradicts with Condition (2). Thus, . Note that does not satisfy the Condition (1) in Lemma 2 and is the set of non-trivial components of , so there is no edge between and . It implies that is a vertex-cut of and , i.e., is a -good-neighbor cut of , so . Since , it implies .
Note that neither nor is empty, so . Let , . For any , is adjacent to both and .
Note that and is a -good-neighbor cut of , by Condition (3), has two components, one of which is an edge. It follows that is adjacent to and , which contradicts with .
Now we assume that . Since is a -good-neighbor faulty set, for any , . As the vertex set pair is not satisfied with any one condition in Lemma 2. By Condition (3) in Lemma 2, any vertex has at most one neighbor in , it implies that , i.e., has no trivial component. The Claim is completed.
Let . By Claim 2, has at least one neighbor in . Note that the vertex set pair does not satisfy any one condition in Lemma 2, has no neighbor in . By the arbitrary of , there is no edge between and .
Since , and is a -good-neighbor faulty set and condition (3) of Lemma 2, . Similarly, if . Since and , is a -good-neighbor cut of , so . Since , it follows that . Then, , which contradicts with . Therefore, is -good-neighbor -diagnosable under the MM model and .
By the above discussion, . The proof is completed. ∎
4 Applications
4.1 Application to data center network
Guo et al. [12] proposed a server-centric data center network called DCell. Data center networks have been becoming more and more important with the development of cloud computing.
Given a positive integer , we use and to denote the sets and , respectively. For any integers and , we use denote a -dimensional DCell with -port switches. is a complete graph on vertices. We use to denote the number of vertices in with and , where . Let and for any . Then, let and , and and for any . Clearly, and . The definition of is as follows [12].
Definition 3**.**
* is a graph with vertex set , where a vertex is adjacent to a vertex if and only if there is an integer with*
- (1)
, 2. (2)
, 3. (3)
* and with ;*
Or , and and .
is an edge; is a cycle of length . is shown in Figure 2. It is clear that is a regular graph with vertices.
When all three conditions of Definition 3 hold, we define that two adjacent vertices and have a leftmost distinct element at position . For any integer , when two adjacent vertices and have a leftmost differing element at the position , denoted by ldiff. For any with , we use to denote the graph obtained by prefixing the label of each vertex of one copy of with . Clearly, . For any integers and , edges joining vertices in the same copy of are called internal edges and edges joining vertices in disjoint copies of are called external edges. Clearly, each vertex of is joined to exactly one external edge and -internal edges for each .
From the definition of in [12], the following properties 1 can be gotten directly.
Proposition 1**.**
Let be the data center network with and .
- (1)
* is a complete graph with vertices labeled as respectively.* 2. (2)
For , consists of copies of , denoted by , for each . For any two copies and of with , there exists only one edge , where in and in which satisfy that and . It implies that each vertex in has only one neighbor which is not in , called extra neighbor. 3. (3)
For any two distinct vertices in , and . There is only one edge between and for any and .
Lemma 3**.**
([12])* The connectivity of is . For any integers and , the number of vertices in satisfies .*
Lemma 4**.**
([31])* For any integers , , and , if each fault-free vertex has at least fault-free neighbor(s) in , then there exists a complete graph of order in such that , and has exactly two components: one is and the other is , where every vertex of has at least fault-free neighbor(s) in .*
Lemma 5**.**
([31])* For any integer ,*
[TABLE]
Let be the subset of . Let , for , , , , and which is the induced subgraph by . The following Claim 3 is useful.
Claim 3**.**
([31])* Let be a faulty vertex set of . If with , and , then and is connected.*
Lemma 6**.**
* is tightly super -connected for and .*
Proof. Note that , let be the subset of with and is disconnected. Recall that , for , , , , and .
By Claim 3, and is connected. We consider the following two cases.
Case 1. .
In this case, , is connected, which leads to a contradiction.
Case 2. .
Without loss of generality, let , so , is connected. If is connected, since for and , it implies at least one vertex of is connected to . As a result, is connected, which leads to a contradiction. In the following, assume is disconnected.
Subcase 2.1. .
Let be the unique vertex in . By the similar discussion as Case 1, is connected. By Proposition 1, any non-trivial component of is connected to . There is exactly one trivial component because . Thus, if is disconnected, it has exactly two components, one of which has only one vertex, say , and its only disconnecting set is the set of the neighbors of .
Subcase 2.2. .
Consequently, . Note that each vertex in is adjacent to exactly one vertex in , it implies is connected, which leads to a contradiction.
Hence, is tightly -super connected for and . ∎
Lemma 7**.**
Let and with . Then either is connected; or has two components, the smaller one, say , , where is the complete graph with order .
Proof. If , note that is a cycle of length , it is not different to check the result holds. We consider as follows. Assume that is disconnected and are the disjoint connected components of .
For , is contained in some subgraph, say for . If this is not true, let and . Note that is a complete graph, . As there is exactly one cross edge between and , to separate from other part, it has at least for faulty vertices, which is a contradiction.
If , to separate from , it has to remove vertices. As every vertex of has exactly one cross edge connecting to , it need to remove vertices in , it implies there are no surplus faulty vertices in . This means that , and is the only connected component except for the largest component in . ∎
By Lemma 7, is not tightly super -connected for .
Lemma 8**.**
Let and with . Then either is connected; or has two components, one of which is a trivial component; or has two components, one of which is an edge; or has three components, two of which are trivial components.
Proof. Recall that , , and , by Claim 3, and is connected. We consider the following three cases.
Case 1. .
In this case, , is connected.
Case 2. .
Without loss of generality, let , so , is connected. If is connected, since for , it implies at least one vertex of is connected to , is connected. In the following, assume is disconnected.
Note that , by Proposition 1, at most two vertices in are disconnected with . Hence, if is disconnected, then it contains a large component and smaller components which contain at most two vertices in total.
Case 3. .
Without loss of generality, let , and . Since , i.e. , so , , and .
Note that , any component of with more than one vertex is adjacent to , by Proposition 1, at most one trivial component of can be disconnected with . It leads to if is disconnected, then it contains a large component and a trivial component. ∎
Lemma 9**.**
Let and with and . Then either is connected; or has two components, one of which is a trivial component; or has two components, one of which is an edge; or has three components, two of which are trivial components.
Proof. We prove the lemma by the induction on . By Lemma 8, the result holds for . Assume and the result holds for . We consider as follows. Recall that , , and , by Claim 3, . We need only consider the following three cases with respect to .
Case 1. .
In this case, , is connected.
Case 2. .
Without loss of generality, let , so , is connected. If is connected, since for and , it implies at least one vertex of is connected to . As a result, is connected. In the following, assume is disconnected.
Subcase 2.1. .
By inductive hypothesis in , if is disconnected, then it contains a large component, say , and smaller components which contain at most two vertices in total. Since for and , it implies that is connected to . Note that if is disconnected, then contains a large component and smaller components which contain at most two vertices in total.
Subcase 2.2. .
In this case, . Note that each vertex in is adjacent to exactly one vertex in , at most one vertex are disconnected with . Thus, if is disconnected, then it has two components, one of which is a trivial component.
Subcase 2.3. .
Consequently, . Note that each vertex in is adjacent to exactly one vertex in , it leads to is connected.
Case 3. .
Without loss of generality, let and , so , is connected.
We Claim for . In fact, if for , then , it is impossible. If and , then , i.e. it is impossible because of .
By Lemma 6, for , if is disconnected, then has two components, one of which is a trivial component, say . Let , is connected to by the similar discussion of Case 1. Thus, if is disconnected, then either it has two components, one of which is a trivial component or an edge; or has three components, two of which are trivial components. ∎
Corollary 1**.**
Let be the data center network with and . Then the -good neighbor diagnosabilities of under the PMC model and the MM model are both for .
Proof. By Lemma 3, is -regular and -connected and . By Lemma 5, if and . Since for , and , Condition (2) in Theorem 1 holds; By Lemma 4, Condition (1) in Theorem 1 holds; Condition (3) in Theorem 1 holds by Lemma 9. By Theorem 1, the corollary holds. ∎
4.2 Application to -star graphs
The -star graph , proposed by Chiang et al. [4] in 1995, is another generalization of the star graph .
Definition 4**.**
Given two positive integers and with , let denote the set , and let be a set of arrangements of elements in . The -star graph has vertex-set , a vertex is adjacent to a vertex
- (1)
, where (swap-edge). 2. (2)
, where (unswap-edge).
An can be formed by interconnecting ’s, that is, an can be decomposed into ’s along any dimension , and it can also be decomposed into vertex disjoint ’s in different ways by fixing one symbol in any position , . We denote the subgraph which fixes the symbol in the last position . Obviously, is isomorphic to . Moreover, there are independent swap-edges between and for any with .
Let be the -star graph with . For any , let . The the subgraph of induced by is a complete graph of order , denoted by .
is -regular, -connected and vertex-transitive with order , however, it is not edge-transitive if (see Chiang et al. [4]). In addition, is isomorphic to and is isomorphic to obviously. Moreover, Cheng et al. [7] showed is isomorphic to . It follows that the -star graph is naturally regarded as a common generalization of the star graph and the alternating group network .
Lemma 10**.**
([20])* Let be the -star graph.*
- (1)
There exists a complete graph of order in such that , and has exactly two components: and , every vertex of has at least fault-free neighbor(s) in . 2. (2)
Then for and .
Lemma 11**.**
([37])* Let be a faulty vertex set of () with . Then satisfies one of the following conditions:*
- (1)
* is connected; or* 2. (2)
* has two components, one of which is a trivial component; or* 3. (3)
* has two components, one of which ia an edge. Moreover, is formed by the neighbor of the edge.*
Lemma 12**.**
([16])* Let be a vertex-cut of for . If , then satisfies one of the following conditions:*
- (1)
* has two components, one of which is a trivial component.* 2. (2)
* has two components, one of which is an edge. Moreover, if , is formed by the neighbor of the edge.*
Remark 1**.**
Note that is -regular -connected and . By Lemma 10 (2), for and . Since for and , Condition (2) in Theorem 1 holds; By Lemma 11 and Lemma 12, Condition (3) in Theorem 1 holds; By Lemma 10 (1), Condition (1) in Theorem 1 holds; By Theorem 1, we can deduce the following Corollary holds.
Corollary 2**.**
([34])* Let be the -star graph with . Then the -good neighbor diagnosabilities of under the PMC model and the MM model are both for .*
Since the star graph is isomorphic to and the alternating group network is isomorphic to [7]. The following corollaries are obtained directly from Corollary 2.
Corollary 3**.**
Let be the -dimensional star graphs for . Then -good-neighbor diagnosabilities of under the two models are both .
Corollary 4**.**
Let be the -dimensional alternating group network for . Then -good-neighbor diagnosabilities of under the two models are both for and .
4.3 Application to -arrangement graphs
The -arrangement graph, denoted by , was proposed by Day and Tripathi [9] in 1992. The definition of is as follows.
Definition 5**.**
Given two positive integers and with , let denote the set , and let be a set of arrangements of elements in . The -arrangement graph, denoted by , has vertex-set and two vertices are adjacent if and only if they differ in exactly one position.
is -regular, -connected with vertices, vertex-transitive and edge-transitive (see [9]). Clearly, is isomorphic to the complete graph and is isomorphic to the -dimensional star graph . Chiang and Chen [5] showed that is isomorphic to the -alternating group graph .
For a fixed (, let
[TABLE]
Then . There are such ’s. By definition, it is easy to see that the subgraph of induced by is a complete graph . In special, if , and if . Thus, when and , for each fixed (, the vertex-set of can be partitioned into subsets, each of which induces a complete graph .
Lemma 13**.**
([21])* Let be the -arrangement graph.*
- (1)
There exists a complete graph of order in such that , and has exactly two components: one is and the other is , where every vertex of has at least fault-free neighbor(s) in . 2. (2)
* for and .*
Lemma 14**.**
([38])* Let be a set of faulty vertices in with , and . If is disconnected, then it has exactly two components, one of which is a single vertex or a single edge. Moreover, if , is formed by the neighbors of the edge.*
Remark 2**.**
Note that is -regular -connected and . By Lemma 13, for and , Condition (1) holds. Since for and , Condition (2) in Theorem 1 holds; Condition (3) in Theorem 1 holds by Lemma 14. Thus, by Theorem 1, we can deduce the following Corollary holds.
Corollary 5**.**
Let be the -arrangement graph. Then the -good neighbor diagnosabilities of under the PMC model and the MM model are both for and .
Since the alternating group graph is isomorphic to [5]. The following corollary is derived directly from Corollary 5.
Corollary 6**.**
Let be the -dimensional alternating group network for . Then -good-neighbor diagnosabilities of under the two models are both for .
5 Conclusion
-connectivity and -good-neighbor diagnosability are two metrics to evaluate a multiprocessor system. In this paper, we firstly established the relation between -good-neighbor diagnosability and -connectivity for regular graphs. Secondly, we prove that is tightly super -connected for and , but is not tightly super -connected. Thirdly, we show that the -good-neighbor diagnosability of are for under the PMC model and the MM model, respectively. As direct corollaries, the -good-neighbor diagnosability of the -star networks and the -arrangement graphs are obtained. This method can be used to other complex networks.
Acknowledgments
This work was supported by the National Natural Science Foundation of China (No. 11371052, No.11571035, No.11271012, No.61572010), the Fundamental Research Funds for the Central Universities (Nos. 2016JBM071, 2016JBZ012) and the Project of China (B16002).
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