超立方体
计算机科学
多处理
组分(热力学)
可靠性(半导体)
图形
理论计算机科学
连接部件
并行计算
人工智能
物理
功率(物理)
量子力学
热力学
作者
Xiaoyan Li,Cheng‐Kuan Lin,Jianxi Fan,Xiaohua Jia,Baolei Cheng,Jingya Zhou
标识
DOI:10.1093/comjnl/bxz136
摘要
Abstract Connectivity is a classic measure for reliability of a multiprocessor system in the case of processor failures. Extra connectivity and component connectivity are two important indicators of the reliability of a multiprocessor system in presence of failing processors. The $h$-extra connectivity $\kappa _{h}(G)$ of a graph $G$ is the minimum number of nodes whose removal will disconnect $G$, and every remaining component has at least $h+1$ nodes. Moreover, the $h$-component connectivity $c\kappa _{h}(G)$ of $G$ is the minimum number of nodes whose deletion results in a graph with at least $h$ components. However, the extra connectivity and component connectivity of many well-known networks have been independently investigated. In this paper, we determine the relationship between extra connectivity and component connectivity of general networks. As applications, the extra connectivity and component connectivity are explored for some well-known networks, including complete cubic networks, hierarchical cubic networks, generalized exchanged hypercubes, dual-cube-like networks, Cayley graphs generated by transposition trees and hierarchical hypercubes as well.
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