The <i>h</i>-faulty-block connectivity of <i>k</i>-ary <i>n</i>-cubes

Abstract The connectivity of a network is an important indicator for assessing its reliability and fault tolerability. However, currently various kinds of connectivity do not well reflect the network’s fault tolerance when facing certain attacks such as Botnet attacks, DDoS attacks, and Local Area Network Denial attacks. Therefore, Lin et al. (A novel measurement for network reliability. IEEE Trans Comput 2021; 70: 17191731.) proposed a new measurement for network reliability. This measurement method can resist the block attack by taking into account of the dispersity of the remaining nodes. Let $G$ be a network, $C \subset V(G)$, and $G[C]$ be a connected subgraph. Then $C$ is called an $h$-faulty-block of $G$ if $G-C$ is disconnected, and every component of $G-C$ has at least $h+1$ nodes. The minimum cardinality over all $h$-faulty-block of $G$ is called $h$-faulty-block connectivity, denoted by $FB_{k_{h}}(G)$. In this paper, we determine $FB_{k_{h}}(Q_{n}^{k})$ for $k$-ary $n$-cube $Q_{n}^{k}$ ($k\geq 3$), a classic interconnection network. We prove that $FB_{k_{0}}(Q_{n}^{3})=3n-1$, $FB_{k_{1}}(Q_{n}^{3})=5n-4$, and $FB_{k_{2}}(Q_{n}^{3})=7n-9$ for $n\geq 3$. Also, we show that $FB_{k_{0}}(Q_{n}^{k})=4n-1$ for $k\geq 4$ and $n\geq 2$, $FB_{k_{1}}(Q_{n}^{4})=6n-4$ for $n\geq 3$, $FB_{k_{1}}(Q_{n}^{k})=6n-3$ for $k\geq 5$ and $n\geq 3$, $FB_{k_{2}}(Q_{n}^{4})=8n-7$ for $n\geq 4$, $FB_{k_{2}}(Q_{n}^{5})=8n-6$ for $n\geq 4$, and $FB_{k_{2}}(Q_{n}^{k})=8n-5$ for $k\geq 6$ and $n\geq 5$.

Authors

Institutions

Publication Details

Journal
The Computer Journal
Published
2024-10-19
DOI
https://doi.org/10.1093/comjnl/bxae098
Primary Topic
Interconnection Networks and Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The h-faulty-block connectivity of k-ary n-cubes

Xiaohui Hua, Qin Zhao
The Computer Journal
Interconnection Networks and Systems
article

The h-faulty-block connectivity of k-ary n-cubes

Xiaohui Hua, Qin Zhao
article en

Abstract

Abstract The connectivity of a network is an important indicator for assessing its reliability and fault tolerability. However, currently various kinds of connectivity do not well reflect the network’s fault tolerance when facing certain attacks such as Botnet attacks, DDoS attacks, and Local Area Network Denial attacks. Therefore, Lin et al. (A novel measurement for network reliability. IEEE Trans Comput 2021; 70: 17191731.) proposed a new measurement for network reliability. This measurement method can resist the block attack by taking into account of the dispersity of the remaining nodes. Let $G$ be a network, $C \subset V(G)$, and $G[C]$ be a connected subgraph. Then $C$ is called an $h$-faulty-block of $G$ if $G-C$ is disconnected, and every component of $G-C$ has at least $h+1$ nodes. The minimum cardinality over all $h$-faulty-block of $G$ is called $h$-faulty-block connectivity, denoted by $FB_{k_{h}}(G)$. In this paper, we determine $FB_{k_{h}}(Q_{n}^{k})$ for $k$-ary $n$-cube $Q_{n}^{k}$ ($k\geq 3$), a classic interconnection network. We prove that $FB_{k_{0}}(Q_{n}^{3})=3n-1$, $FB_{k_{1}}(Q_{n}^{3})=5n-4$, and $FB_{k_{2}}(Q_{n}^{3})=7n-9$ for $n\geq 3$. Also, we show that $FB_{k_{0}}(Q_{n}^{k})=4n-1$ for $k\geq 4$ and $n\geq 2$, $FB_{k_{1}}(Q_{n}^{4})=6n-4$ for $n\geq 3$, $FB_{k_{1}}(Q_{n}^{k})=6n-3$ for $k\geq 5$ and $n\geq 3$, $FB_{k_{2}}(Q_{n}^{4})=8n-7$ for $n\geq 4$, $FB_{k_{2}}(Q_{n}^{5})=8n-6$ for $n\geq 4$, and $FB_{k_{2}}(Q_{n}^{k})=8n-5$ for $k\geq 6$ and $n\geq 5$.

The Computer JournalVol. 68(2)
Henan Normal University (CN)
Openalex Percentile: Top 79%
Interconnection Networks and Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The <i>h</i>-faulty-block connectivity of <i>k</i>-ary <i>n</i>-cubes — Xiaohui Hua, Qin Zhao · The Computer Journal (2024) | TGRS Research Map | TGRS