Structural Modeling and Characteristics Analysis of Flow Interaction Networks in the Internet

被引:6
|
作者
Wu Xiao-Yu [1 ]
Gu Ren-Tao [1 ]
Pan Zhuo-Ya [1 ]
Jin Wei-Qi [1 ]
Ji Yue-Feng [1 ]
机构
[1] Beijing Univ Posts & Telecommun, Beijing Key Lab Network Syst Architecture & Conve, Beijing 100876, Peoples R China
基金
中国国家自然科学基金; 北京市自然科学基金;
关键词
DYNAMICS;
D O I
10.1088/0256-307X/32/6/068901
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Applying network duality and elastic mechanics, we investigate the interactions among Internet flows by constructing a weighted undirected network, where the vertices and the edges represent the flows and the mutual dependence between flows, respectively. Based on the obtained flow interaction network, we find the existence of 'super flow' in the Internet, indicating that some flows have a great impact on a huge number of other flows; moreover, one flow can spread its influence to another through a limited quantity of flows ( less than 5 in the experimental simulations), which shows strong small-world characteristics like the social network. To reflect the flow interactions in the physical network congestion evaluation, the 'congestion coefficient' is proposed as a new metric which shows a finer observation on congestion than the conventional one.
引用
收藏
页数:4
相关论文
共 50 条
  • [21] A Standard-Based Internet of Things Platform and Data Flow Modeling for Smart Environmental Monitoring
    Filho, Tercio
    Fernando, Luiz
    Rabelo, Marcos
    Silva, Sergio
    Santos, Carlos
    Ribeiro, Maria
    Grout, Ian A.
    Moreira, Waldir
    Oliveira-Jr, Antonio
    SENSORS, 2021, 21 (12)
  • [22] Optimal load redistribution on interdependent networks under a novel flow interaction model
    Huang, Mingyu
    Ding, Li
    Ding, Wei
    Lin, Tao
    Guan, Zhihong
    INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2020, 34 (11):
  • [23] Modeling, estimation, and analysis of epidemics over networks: An overview
    Pare, Philip E.
    Beck, Carolyn L.
    Basar, Tamer
    ANNUAL REVIEWS IN CONTROL, 2020, 50 : 345 - 360
  • [24] Structural changes in intercity mobility networks of China during the COVID-19 outbreak: A weighted stochastic block modeling analysis
    Zhang, Wenjia
    Gong, Zhaoya
    Niu, Caicheng
    Zhao, Pu
    Ma, Qiwei
    Zhao, Pengjun
    COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2022, 96
  • [25] Submerged gas jet in liquid cross flow: Modeling and flow structures analysis
    Dong, Ping
    Wang, Kai
    Cheng, Dong
    Lu, Bingju
    OCEAN ENGINEERING, 2021, 242
  • [26] MODELING CHLOROPHYLL A OF BOHAI BAY BASED ON STRUCTURAL EQUATION MODEL AND BAYESIAN NETWORKS
    Xu, X. F.
    Xiang, X. Q.
    Tao, J. H.
    PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON APAC 2011, 2012,
  • [27] Atomistic Modeling of Mechanical Characteristics of CNT-Polyethylene with Interfacial Covalent Interaction
    Xiong, Qi-lin
    Tian, Xiao-geng
    JOURNAL OF NANOMATERIALS, 2015, 2015
  • [28] Structural network characteristics affect epidemic severity and prediction in social contact networks
    McKee, Jae
    Dallas, Tad
    INFECTIOUS DISEASE MODELLING, 2024, 9 (01) : 204 - 213
  • [29] Analysis of oil prices' interaction in the USA based on complex networks
    Zhen, Zaili
    Tian, Lixin
    Lu, Jingqing
    ENERGY SOURCES PART B-ECONOMICS PLANNING AND POLICY, 2019, 14 (01) : 1 - 12
  • [30] Modeling the evolution of interconnected processes: It is the song and the singers Tracking units of selection with interaction networks
    Bapteste, Eric
    Papale, Francois
    BIOESSAYS, 2021, 43 (01)