A network flow model for mixtures of file transfers and streaming traffic

被引:0
|
作者
Key, P [1 ]
Massoulié, L [1 ]
Bain, A [1 ]
Kelly, F [1 ]
机构
[1] Microsoft Res, Cambridge CB3 0FB, England
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
Roberts, Massoulie and co-authors have introduced and studied a flow level model of Internet congestion control, that represents the randomly varying number of flows present in a network where bandwidth is dynamically shared between elastic file transfers. In this paper we consider a generalization of the model to include streaming traffic as well as file transfers, under a fairness assumption that includes TCP-friendliness as a special case. We establish stability, under conditions, for a fluid model of the system. We also assess the impact of each traffic type on the other: file transfers are seen by streaming traffic as reducing the available capacity, whereas for file transfers the presence of streaming traffic amounts to replacing sharp capacity constraints by relaxed constraints. The integration of streaming traffic and file transfers has a stabilizing effect on the variability of the number of flows present in the system.
引用
收藏
页码:1021 / 1030
页数:10
相关论文
共 50 条
  • [31] Systems of hyperbolic conservation laws on network - a model for traffic flow
    Holden, H.
    Risebro, N.H.
    Martinsen, T.W.
    Zeitschrift fuer Angewandte Mathematik und Mechanik, ZAMM, Applied Mathematics and Mechanics, 1996, 76 (Suppl 3):
  • [32] Fuzzy neural network model applied in the traffic flow prediction
    Tong, Gang
    Fan, Chunling
    Cui, Fengying
    Meng, Xiangzhong
    2006 IEEE INTERNATIONAL CONFERENCE ON INFORMATION ACQUISITION, VOLS 1 AND 2, CONFERENCE PROCEEDINGS, 2006, : 1229 - 1233
  • [33] Deep learning model for traffic flow prediction in wireless network
    Kavitha, A. K.
    Praveena, S. Mary
    AUTOMATIKA, 2023, 64 (04) : 848 - 857
  • [34] Traffic Flow Prediction Model Based on Temporal Convolutional Network
    Zhao, Changxi
    2023 17TH INTERNATIONAL CONFERENCE ON THE EXPERIENCE OF DESIGNING AND APPLICATION OF CAD SYSTEMS, CADSM, 2023,
  • [35] A NEURAL NETWORK BASED TRAFFIC-FLOW PREDICTION MODEL
    Cetiner, B. Gueltekin
    Sari, Murat
    Borat, Oguz
    MATHEMATICAL & COMPUTATIONAL APPLICATIONS, 2010, 15 (02): : 269 - 278
  • [36] Network Traffic Classification Method Fused with Flow Energy Model
    Du, Wenyong
    Xu, Liyang
    Wang, Chenfei
    Zhao, Wenhua
    Zhang, Shuo
    Xie, Ruinan
    Cao, Pengcheng
    Li, Xiaohong
    Computer Engineering and Applications, 2024, 60 (20) : 274 - 283
  • [37] Eulerian network model of air traffic flow in congested areas
    Bayen, AM
    Raffard, RL
    Tomlin, CJ
    PROCEEDINGS OF THE 2004 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2004, : 5520 - 5526
  • [38] Network traffic control based on a mesoscopic dynamic flow model
    Di Gangi, Massimo
    Cantarella, Giulio E.
    Di Pace, Roberta
    Memoli, Silvio
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2016, 66 : 3 - 26
  • [39] A Traffic Grouping Method using the Correlation Model of Network Flow
    Goo, Young-Hoon
    Lee, Sung-Ho
    Choi, Seongyun
    Choi, Mi-Jung
    Kim, Myung-Sup
    2017 19TH ASIA-PACIFIC NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM (APNOMS 2017): MANAGING A WORLD OF THINGS, 2017, : 386 - 390
  • [40] Network Traffic Flow Evolution Model Based on Disequilibrium Theory
    Huang, Zhongxiang
    Wu, Jianhui
    Huang, Ruqing
    Xu, Yan
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2018, 2018