Reliability Assessment of Multiprocessor System Based on Exchanged Crossed Cube Networks

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Concurrency and Computation-Practice & Experience Pub Date : 2024-11-26 DOI:10.1002/cpe.8325
Xuanli Liu, Weibei Fan, Jing He, Zhijie Han, Chi-Hung Chi
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Abstract

With the increasingly widespread application of multiprocessor systems, some processors in multiprocessor systems are inevitably prone to malfunctions. The reliability and effectiveness of the system are key issues. As a standard for measuring system fault tolerance, connectivity, and edge connectivity have many drawbacks. Therefore, Haray proposed conditional connectivity by restricting the connected components in disconnected subgraphs G F $$ G-F $$ to satisfy certain properties, where G $$ G $$ and F $$ F $$ represent the interconnection network and its set of faulty vertices, respectively. Restricted connectivity is a special type of conditional connectivity. Exchanged crossed cube, as a deformation of hypercube, has more favorable properties, such as smaller diameter, smaller link size, and lower cost. We prove that the 2-restricted connectivity of the exchanged crossed cubes ECQ ( s , t ) $$ \mathrm{ECQ}\left(s,t\right) $$ is 4 s 4 $$ 4s-4 $$ for 2 s t $$ 2\le s\le t $$ .

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基于交换交叉立方体网络的多处理机系统可靠性评估
随着多处理机系统应用的日益广泛,多处理机系统中的一些处理机不可避免地容易出现故障。系统的可靠性和有效性是关键问题。作为测量系统容错性的标准,连通性和边缘连通性存在许多缺陷。因此,Haray通过限制断开子图G−F $$ G-F $$中的连通分量以满足某些性质,提出了条件连通性,式中,G $$ G $$和F $$ F $$分别表示互联网络及其故障点集。受限连接是一种特殊类型的条件连接。交换交叉立方体作为超立方体的一种变形形式,具有直径更小、连杆尺寸更小、成本更低等优点。证明了交换交叉立方体的2限制连通性ECQ (s),T) $$ \mathrm{ECQ}\left(s,t\right) $$ = 4 s−4 $$ 4s-4 $$对于2≤s≤T $$ 2\le s\le t $$。
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来源期刊
Concurrency and Computation-Practice & Experience
Concurrency and Computation-Practice & Experience 工程技术-计算机:理论方法
CiteScore
5.00
自引率
10.00%
发文量
664
审稿时长
9.6 months
期刊介绍: Concurrency and Computation: Practice and Experience (CCPE) publishes high-quality, original research papers, and authoritative research review papers, in the overlapping fields of: Parallel and distributed computing; High-performance computing; Computational and data science; Artificial intelligence and machine learning; Big data applications, algorithms, and systems; Network science; Ontologies and semantics; Security and privacy; Cloud/edge/fog computing; Green computing; and Quantum computing.
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