Open AccessThe Capacity Load Model of K-Uniform Hyper-Network based on Equal Load Distribution
Author(s) -
Yang Cui,
Xinfang Ma,
Fanyuan Ma,
Qian Liu,
Wenxin Cheng
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1828/1/012060
Subject(s) - robustness (evolution) , cascading failure , computer science , enhanced data rates for gsm evolution , load balancing (electrical power) , topology (electrical circuits) , distributed computing , mathematics , telecommunications , physics , combinatorics , electric power system , geometry , biochemistry , chemistry , power (physics) , quantum mechanics , gene , grid
Cascading failures occur frequently in many network systems. In this paper, we propose a hyper-network Capacity Load Model based on hyper-edge degrees load to explore the influence of cascading failures on some K -uniform hyper-networks. In simulation, we attack the hyper-edge which has largest hyper-edge degree. When the hyper-edge fails, its load will be equally distributed to adjacent hyper-edges. Through simulation analysis, we get the relationship between the capacity-load model parameters and the robustness of the k-uniform hyper-network. The results show the robustness of the hyper-networks is enhanced with the increase of its hyper-edge capacity. In addition, simulation result show that the robustness of K -uniform hyper-networks is strongest at α=1.