论文标题
得出互连网络可诊断性结果的一般方法
A general approach to deriving diagnosability results of interconnection networks
论文作者
论文摘要
我们概括了一种通过流行的$ g $ -Ogood-neighbor和$ g $ -Extra耐故障模型以及主流诊断模型（如PMC和MM*模型）来推导各种互连网络的诊断性结果的方法。 作为示例的示例，我们展示了如何遵循这个建设性且有效的过程，以得出HyperCube，$（N，K）$ - Star和Becendement Graph的$ G $ -EXTRA诊断能力。这些结果与单独实现的结果一致，而无需复制结构独立的技术细节。其中一些具有比已经知道的更大的适用范围，并且根据MM*模型而言，安排图的结果是新的。
We generalize an approach to deriving diagnosability results of various interconnection networks in terms of the popular $g$-good-neighbor and $g$-extra fault-tolerant models, as well as mainstream diagnostic models such as the PMC and the MM* models. As demonstrative examples, we show how to follow this constructive, and effective, process to derive the $g$-extra diagnosabilities of the hypercube, the $(n, k)$-star, and the arrangement graph. These results agree with those achieved individually, without duplicating structure independent technical details. Some of them come with a larger applicable range than those already known, and the result for the arrangement graph in terms of the MM* model is new.
