A lower bound on the size of k-neighborhood in generalized cubes

被引:8
|
作者
Yang, Xiaofan [1 ]
Megson, Graham M.
Cao, Jianqiu
Luo, Jun
机构
[1] Chongqing Jiaotong Univ, Sch Comp & Informat, Chongqing 400074, Peoples R China
[2] Chongqing Univ, Coll Comp Sci, Chongqing 400030, Peoples R China
[3] Univ Reading, Sch Syst Engn, Dept Comp Sci, Reading RG6 6AY, Berks, England
基金
中国国家自然科学基金;
关键词
interconnection network; hypercube; generalized cube; k-neighborhood;
D O I
10.1016/j.amc.2005.11.080
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The determination of the minimum size of a k-neighborhood (i.e., a neighborhood of a set of k nodes) in a given graph is essential in the analysis of diagnosability and fault tolerance of multicomputer systems. The generalized cubes include the hypercube and most hypercube variants as special cases. In this paper, we present a lower bound on the size of a k-neighborhood in n-dimensional generalized cubes, where 2n + 1 <= k <= 3n - 2. This lower bound is tight in that it is met by the n-dimensional hypercube. Our result is an extension of two previously known results. (c) 2005 Elsevier Inc. All rights reserved.
引用
收藏
页码:47 / 54
页数:8
相关论文
共 50 条
  • [1] Outlier Detection based on K-Neighborhood MST
    Zhu, Qingsheng
    Fan, Xiaogang
    Feng, Ji
    [J]. 2014 IEEE 15TH INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION (IRI), 2014, : 718 - 724
  • [2] Strategic Interaction in k-neighborhood on the Network Formation
    Li Kang
    Gao Hong-wei
    Wang Gui-rong
    Chen Chun-rui
    Hu Ping
    Wang Kun
    [J]. 2012 THIRD GLOBAL CONGRESS ON INTELLIGENT SYSTEMS (GCIS 2012), 2012, : 369 - 372
  • [3] On the k-neighborhood coloring of the corona and join products of graphs
    Alikhani, Saeid
    Soltani, Samaneh
    Rajasingh, Indra
    [J]. JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES, 2019, 40 (03): : 805 - 811
  • [4] Use the K-Neighborhood Subgraphs to Compute Canonical Labelings of Graphs
    Hao, Jianqiang
    Gong, Yunzhan
    Sun, Jianzhi
    Tan, Li
    [J]. MATHEMATICS, 2019, 7 (08)
  • [5] Trajectory Similarity Analysis with the Weight of Direction and k-Neighborhood for AIS Data
    Nie, Pin
    Chen, Zhenjie
    Xia, Nan
    Huang, Qiuhao
    Li, Feixue
    [J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2021, 10 (11)
  • [6] Speeding Up k-Neighborhood Local Search in Limited Memory Influence Diagrams
    Maua, Denis D.
    Cozman, Fabio G.
    [J]. PROBABILISTIC GRAPHICAL MODELS, 2014, 8754 : 334 - 349
  • [7] General lower bound on the size of (H; k)-stable graphs
    Zak, Andrzej
    [J]. JOURNAL OF COMBINATORIAL OPTIMIZATION, 2015, 29 (02) : 367 - 372
  • [8] k-Neighborhood Template A-Type Two-Dimensional Bounded Cellular Acceptors
    Sakamoto, Makoto
    Zhang, Yu-an
    Hori, Masamichi
    Tsuboi, Haruka
    Ikeda, Satoshi
    Aoki, Kenji
    Ito, Tsutomu
    Ito, Takao
    Uchida, Yasuo
    Yoshinaga, Tsunehiro
    [J]. ICAROB 2018: PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS, 2018, : 259 - 263
  • [9] k-Neighborhood decentralization: A comprehensive solution to index the UMLS for large scale knowledge discovery
    Xiang, Yang
    Lu, Kewei
    James, Stephen L.
    Borlawsky, Tara B.
    Huang, Kun
    Payne, Philip R. O.
    [J]. JOURNAL OF BIOMEDICAL INFORMATICS, 2012, 45 (02) : 323 - 336
  • [10] k-Neighborhood Template A-Type Two-Dimensional Bounded Cellular Acceptors
    Sakamoto, Makoto
    Zhang, Yu-an
    Hori, Masamichi
    Tsuboi, Haruka
    Ikeda, Satoshi
    Aoki, Kenji
    Ito, Tsutomu
    Ito, Takao
    Uchida, Yasuo
    Yoshinaga, Tsunehiro
    [J]. JOURNAL OF ROBOTICS NETWORKING AND ARTIFICIAL LIFE, 2018, 4 (04): : 270 - 274