Reliability assessment for k-ary n-cubes with faulty edges

IF 3.4 3区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS Journal of Parallel and Distributed Computing Pub Date : 2024-03-27 DOI:10.1016/j.jpdc.2024.104886
Si-Yu Li , Xiang-Jun Li , Meijie Ma
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Abstract

The g-restricted edge connectivity is an important measurement to assess the reliability of networks. The g-restricted edge connectivity of a connected graph G is the minimum size of a set of edges in G, if it exists, whose deletion separates G and leaves every vertex in the remaining components with at least g neighbors. The k-ary n-cube is an extension of the hypercube network and has many desirable properties. It has been used to build the architecture of the Supercomputer Fugaku. This paper establishes that for gn, the g-restricted edge connectivity of 3-ary n-cubes is 3g/2(1+(gmod2))(2ng), and the g-restricted edge connectivity of k-ary n-cubes with k4 is 2g(2ng). These results imply that in Qn3 with at most 3g/2(1+(gmod2))(2ng)1 faulty edges, or Qnk(k4) with at most 2g(2ng)1 faulty edges, if each vertex is incident with at least g fault-free edges, then the remaining network is connected.

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具有故障边的 kary n 立方体的可靠性评估
受 g 限制的边连通性是评估网络可靠性的一个重要指标。连通图 G 的 g 受限边连通性是 G 中一组边的最小大小(如果存在),删除这组边可以将 G 分割开来,并使剩余部分中的每个顶点都至少有 g 个邻居。k-ary n 立方体是超立方体网络的扩展,具有许多理想的特性。超级计算机 Fugaku 就是用它构建的。本文证明,对于 g≤n,3-ary n 立方体的 g 限制边连通性为 3⌊g/2⌋(1+(gmod2))(2n-g),而 k≥4 的 k-ary n 立方体的 g 限制边连通性为 2g(2n-g)。这些结果意味着,在最多有 3⌊g/2⌋(1+(gmod2))(2n-g)-1条故障边的 Qn3 中,或最多有 2g(2n-g)-1条故障边的 Qnk(k≥4)中,如果每个顶点至少有 g 条无故障边,那么其余网络是连通的。
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来源期刊
Journal of Parallel and Distributed Computing
Journal of Parallel and Distributed Computing 工程技术-计算机:理论方法
CiteScore
10.30
自引率
2.60%
发文量
172
审稿时长
12 months
期刊介绍: This international journal is directed to researchers, engineers, educators, managers, programmers, and users of computers who have particular interests in parallel processing and/or distributed computing. The Journal of Parallel and Distributed Computing publishes original research papers and timely review articles on the theory, design, evaluation, and use of parallel and/or distributed computing systems. The journal also features special issues on these topics; again covering the full range from the design to the use of our targeted systems.
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