Non-Inclusive Diagnosability of Alternating Group Graphs

IF 0.5 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Parallel Processing Letters Pub Date : 2023-08-31 DOI:10.1142/s012962642350007x

Nengjin Zhuo, Shumin Zhang, Chengfu Ye, Yalan Li

引用次数: 0

Abstract

The diagnosability is very important in multiple-processor systems. Ding et al. proposed the non-inclusive diagnosability of systems in 2020. Compared to previous diagnosability, non-inclusive diagnosability requires all faulty sets to be non-inclusive. In this paper, we show the non-inclusive diagnosability of alternating group graphs under the PMC model and the MM* model for [Formula: see text].

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交替群图的非包容可诊断性

可诊断性在多处理器系统中是非常重要的。丁等人在2020年提出了系统的非包容性可诊断性。与以前的可诊断性相比，非包容性可诊断性要求所有故障集都是非包容性的。在本文中，我们展示了[公式：见正文]在PMC模型和MM*模型下交替组图的非包容性可诊断性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Parallel Processing Letters COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-

CiteScore

0.90

自引率

25.00%

发文量

期刊介绍： Parallel Processing Letters (PPL) aims to rapidly disseminate results on a worldwide basis in the field of parallel processing in the form of short papers. It fills the need for an information vehicle which can convey recent achievements and further the exchange of scientific information in the field. This journal has a wide scope and topics covered included: - design and analysis of parallel and distributed algorithms - theory of parallel computation - parallel programming languages - parallel programming environments - parallel architectures and VLSI circuits