Reward-based routing and Braess' Paradox an efficient resource usage strategy

被引:0
|
作者
Meta, E [1 ]
Miedzowicz, ED [1 ]
Román, A [1 ]
Gutnisky, D [1 ]
Zanutto, BS [1 ]
机构
[1] Univ Buenos Aires, Dept Elect, RA-1063 Buenos Aires, DF, Argentina
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
There exists evidence showing that Internet end-to-end performance is directly affected by well-known routing inefficiencies. Braess' Paradox is an example of the inefficient use of resources as a result of inadequate policies, thus tackling it might be a necessary condition for the new routing strategies. In this paper we propose a routing strategy based on Q-Routing that provides an improved exploration/exploitation tradeoff, which resulted in a dynamic load balancing scheme. We tested it under the conditions of the Braess' Paradox, using NS-2 network simulator. It is shown that the new strategy avoids the Braess' Paradox, increasing network resource availability.
引用
收藏
页码:1436 / 1440
页数:5
相关论文
共 50 条
  • [21] An Energy-efficient Routing Control Strategy Based on Genetic Optimization
    Qu, Wei
    Yang, Mengmeng
    2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2014, : 2038 - 2041
  • [22] Traffic dynamics based on an efficient routing strategy on scale free networks
    C.-Y. Yin
    B.-H. Wang
    W.-X. Wang
    G. Yan
    H.-J. Yang
    The European Physical Journal B - Condensed Matter and Complex Systems, 2006, 49 : 205 - 211
  • [23] Prediction-based Dynamic Thread Pool Scheme for Efficient Resource Usage
    Kang, DongHyun
    Han, Saeyoung
    Yoo, SeoHee
    Park, Sungyong
    8TH IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY WORKSHOPS: CIT WORKSHOPS 2008, PROCEEDINGS, 2008, : 159 - 164
  • [24] Autonomous Surface Vehicle energy-efficient and reward-based path planning using Particle Swarm Optimization and Visibility Graphs
    Krell, Evan
    King, Scott A.
    Carrillo, Luis Rodolfo Garcia
    APPLIED OCEAN RESEARCH, 2022, 122
  • [25] Optimizing Resource Swap Functionality in IoE-Based Grids Using Approximate Reasoning Reward-Based Adjustable Deep Double Q-Learning
    Rouzbahani, Hossein Mohammadi
    Karimipour, Hadis
    Lei, Lei
    IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2023, 69 (03) : 522 - 532
  • [26] Resource Efficient Link-Set Configuration (RELiC)-Based Entanglement Routing
    Kim, Jayeong
    Lee, Hojae
    Lee, Jonghyun
    Lee, Sangrim
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2025, 73 (03) : 1726 - 1740
  • [27] SMT Port Side Channel Defending Method Based on Dynamic Resource Usage Strategy
    Yue X.
    Yang Q.
    Li M.
    Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 2022, 59 (02): : 403 - 417
  • [28] Efficient Learning Strategy of Chinese Characters Based on Usage Frequency and Structural Relationship
    Zhao, Kun
    Zhao, Deshun
    Yang, Jun
    Ma, Wei
    Yu, Bo
    2019 4TH IEEE INTERNATIONAL CONFERENCE ON BIG DATA ANALYTICS (ICBDA 2019), 2019, : 351 - 355
  • [29] Agent-based distance vector routing: a resource efficient and scalable approach to routing in large communication networks
    Amin, KA
    Mikler, AR
    JOURNAL OF SYSTEMS AND SOFTWARE, 2004, 71 (03) : 215 - 227
  • [30] Emergency resource delivery strategy and performance based on two echelon vehicle routing problem
    School of Business Administration, Southwestern University of Finance and Economic, Chengdu
    610074, China
    不详
    100191, China
    Kongzhi yu Juece Control Decis, 2 (266-270): : 266 - 270