A general approach to deriving diagnosability results of interconnection networks*. Issue 4 (4th July 2022)

• Record Type: Journal Article
• Authors: Cheng, Eddie; Mao, Yaping; Qiu, Ke; Shen, Zhizhang
• Is Part Of: International journal of parallel, emergent and distributed systems. Volume 37:Issue 4(2022)
• Page Start: 369
• Page End: 397
• Publication Date: 2022-07-04
• Subjects: Fault tolerance -- diagnosability -- g-good-neighbour diagnosability -- g-extra diagnosability -- the hypercube graph -- the (n, k)-star graph -- the arrangement graph; Parallel computers -- Periodicals; Electronic data processing -- Distributed processing -- Periodicals; Computer algorithms -- Periodicals; 004.35
• DOI: 10.1080/17445760.2022.2060977
• Languages: English
• ISSNs: 1744-5760

Abstract

Abstract : We generalise an approach to deriving diagnosability results of various interconnection networks in terms of the popular g -good-neighbour 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.