Bio-inspired analysis of symbiotic networks

被引:0
|
作者
Wakamiya, Naoki [1 ]
Murata, Masayuki [1 ]
机构
[1] Osaka Univ, Grad Sch Informat Sci & Technol, 1-5 Yamadaoka, Suita, Osaka 5650871, Japan
关键词
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In the Internet, a variety of entities cornpetes with each other. For example, coexisting overlay networks compete for physical network resources and they often disrupt each other. Service providers offer different services and compete for network resources and customers. If competitors could establish cooperative relationships, the collective performance can be improved and they can coexist peacefully and comfortably in a shared environment. In this paper, to understand the way that symbiosis emerges from direct and/or indirect interactions among coexisting entities in a shared environment, we adopt a mathematical model of symbiotic strains. Through thorough evaluations, we show that networks of different service rate and resource consumption can coexist by mutual interactions.
引用
收藏
页码:204 / +
页数:3
相关论文
共 50 条
  • [21] Comparative Analysis of Bio-Inspired Algorithms for Underwater Wireless Sensor Networks
    Zehra, Syeda Sundus
    Qureshi, Rehan
    Dev, Kapal
    Shahid, Saleem
    Bhatti, Naveed Anwar
    WIRELESS PERSONAL COMMUNICATIONS, 2021, 116 (02) : 1311 - 1323
  • [22] Design and analysis of a bio-inspired search algorithm for peer to peer networks
    Ganguly, N
    Brusch, L
    Deutsch, A
    SELF-STAR PROPERTIES IN COMPLEX INFORMATION SYSTEMS: CONCEPTUAL AND PRACTICAL FOUNDATIONS, 2005, 3460 : 358 - 372
  • [23] Comparative Analysis of Bio-Inspired Algorithms for Underwater Wireless Sensor Networks
    Syeda Sundus Zehra
    Rehan Qureshi
    Kapal Dev
    Saleem Shahid
    Naveed Anwar Bhatti
    Wireless Personal Communications, 2021, 116 : 1311 - 1323
  • [24] Parameterized Analysis of Bio-inspired Computing
    Neumann, Frank
    2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), 2017,
  • [25] Generation of Bases for Classification in the Bio-inspired Layered Networks
    Ishii, Naohiro
    Iwata, Kazunori
    Matsuo, Tokuro
    24TH INTERNATIONAL CONFERENCE ON ENGINEERING APPLICATIONS OF NEURAL NETWORKS, EAAAI/EANN 2023, 2023, 1826 : 110 - 120
  • [26] Wireless Sensor Networks Based on Bio-Inspired Algorithms
    Lee, Meonghun
    Kim, Haengkon
    Yoe, Hyun
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2018, PT I, 2018, 10960 : 719 - 725
  • [27] Bio-inspired design for resilient water distribution networks
    Dave, Tirth
    Layton, Astrid
    26TH CIRP CONFERENCE ON LIFE CYCLE ENGINEERING (LCE), 2019, 80 : 275 - 280
  • [28] Adaptive Orthogonal Characteristics of Bio-Inspired Neural Networks
    Ishii, Naohiro
    Deguchi, Toshinori
    Kawaguchi, Masashi
    Sasaki, Hiroshi
    Matsuo, Tokuro
    LOGIC JOURNAL OF THE IGPL, 2022, 30 (04) : 578 - 598
  • [29] Heterogeneous Sensor Networks: A Bio-Inspired Overlay Architecture
    Burman, Jerry
    Hespanha, Joao
    Madhow, Upamanyu
    Klein, Daniel
    Isaacs, Jason
    Venkateswaran, Sriram
    Pham, Tien
    GROUND/AIR MULTI-SENSOR INTEROPERABILITY, INTEGRATION, AND NETWORKING FOR PERSISTENT ISR, 2010, 7694
  • [30] Bio-inspired signal transduction with heterogeneous networks of nanoscillators
    Cervera, Javier
    Manzanares, Jose A.
    Mafe, Salvador
    APPLIED PHYSICS LETTERS, 2012, 100 (09)