2015
DOI: 10.1109/tpds.2014.2318305
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The ${\schmi g}$-Good-Neighbor Conditional Diagnosability of ${\schmi k}$-Ary ${\schmi n}$-Cubes under the PMC Modeland MM* Model

Abstract: The diagnosability of a system is defined as the maximum number of faulty processors that the system can guarantee to identify, which plays an important role in measuring of the reliability of multiprocessor systems. In the work of Peng et al. in 2012, they proposed a new measure for fault diagnosis of systems, namely, g-good-neighbor conditional diagnosability. It is defined as the diagnosability of a multiprocessor system under the assumption that every fault-free node contains at least g fault-free neighbor… Show more

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Cited by 142 publications
(41 citation statements)
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“…In the MM model [5,9], to diagnose a system, a vertex sends the same task to two of its neighbors, and then compares their responses. To be consistent with the MM model, we have the following assumptions.…”
Section: The MM * Modelmentioning
confidence: 99%
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“…In the MM model [5,9], to diagnose a system, a vertex sends the same task to two of its neighbors, and then compares their responses. To be consistent with the MM model, we have the following assumptions.…”
Section: The MM * Modelmentioning
confidence: 99%
“…Before discussing the g-good-neighbor conditional diagnosability of the n-dimensional hypercube under the MM * model, we first give some useful known theorems. [4,9].) A system G is g-good-neighbor conditional t-diagnosable under the M M * model if and only if for each distinct pair of g-good-neighbor conditional faulty subsets F 1 and F 2 of V with |F 1 | ≤ t and |F 2 | ≤ t satisfies one of the following conditions.…”
Section: Diagnosability Of the N-dimensional Hypercube Under The Compmentioning
confidence: 99%
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“…The design of the interconnection network topology significantly determines the performance of the system. A lot of interconnection networks have been proposed in the past decades, for example, hypercube [1] crossed cube [2], twisted cube [3], [4], torus [5], k-ary n-cube [6], [7], [8] and star graph [9]. The k-ary n-cube, denoted by Q k n , is one of the most common interconnection networks due to its desirable properties [10], [11], [12], such as its ability to reduce message latency and ease of implementation.…”
Section: Introductionmentioning
confidence: 99%
“…or Theorem 4.2. ([4,18,20]) A system G = (V, E) is g-extra t-diagnosableunder the MM * model if and only if each distinct pair of g-extra faulty subsets F 1 and F 2 of V with |F 1 | ≤ t and |F 2 | ≤ t satisfies one of the following conditions (seeFig.4):…”
mentioning
confidence: 99%