Time-optimal network queue control: The case of a single congested node

被引:0
作者
Iyer, M [1 ]
Tsai, WK [1 ]
机构
[1] Univ Calif Irvine, Dept Elect & Comp Engn, Irvine, CA 92717 USA
来源
IEEE INFOCOM 2003: THE CONFERENCE ON COMPUTER COMMUNICATIONS, VOLS 1-3, PROCEEDINGS | 2003年
关键词
flow control; queue control; congestion control; control theory; optimization; ATM; ABR;
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
We solve the problem of time-optimal network queue control: what are the input data rates that make network queue sizes converge to their ideal size in the least possible time after a disturbance while still maintaining maximum link utilization at all times, even in the transient? The problem is non-trivial especially because of the vast possible heterogeneity in packet propagation delays in the network. In this paper, we derive the time-optimal queue control for a single congested network node with a single finite queue shared by flows with arbitrary network delays. We neatly separate the derivation of the optimal arrival rate sequence from that of the feedback control protocol to achieve it. The time-optimal control is robust to bandwidth and queue size estimation errors. Its complexity is only a function of the size of the network delays and no per-flow computation is needed. The time-optimality and robustness properties are proven to hold under all queue operating regimes with no need for linearizing approximations.
引用
收藏
页码:619 / 629
页数:11
相关论文
共 41 条
  • [21] Time-optimal Design and Control of Electric Race Cars Equipped with Multi-speed Transmissions
    Cartignij, Camiel
    Salazar, Mauro
    2023 IEEE VEHICLE POWER AND PROPULSION CONFERENCE, VPPC, 2023,
  • [22] PBN-Based Time-Optimal Terminal Air Traffic Control Using Cellular Automata
    Enayatollahi, Fatemeh
    Atashgah, M. A. Amiri
    Malaek, Seyed Mohamad-Bagher
    Thulasiraman, Parimala
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2021, 57 (03) : 1513 - 1523
  • [23] A Stabilizing Nonlinear Model Predictive Control Scheme for Time-optimal Point-to-point Motions
    Verschueren, Robin
    Ferreau, Hans Joachim
    Zanarini, Alessandro
    Mercangoez, Mehmet
    Diehl, Moritz
    2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2017,
  • [24] A Physics-Driven Artificial Agent for Online Time-Optimal Vehicle Motion Planning and Control
    Piccinini, Mattia
    Taddei, Sebastiano
    Larcher, Matteo
    Piazza, Mattia
    Biral, Francesco
    IEEE ACCESS, 2023, 11 : 46344 - 46372
  • [25] Minimizing network bandwidth under latency constraints: The single node case
    Song, Jiayi
    Guerin, Roch
    Sariowan, Henry
    2021 33RD INTERNATIONAL TELETRAFFIC CONGRESS (ITC-33), 2021, : 72 - 80
  • [26] Timed-Elastic-Bands for Time-Optimal Point-to-Point Nonlinear Model Predictive Control
    Roesmann, Christoph
    Hoffmann, Frank
    Bertram, Torsten
    2015 EUROPEAN CONTROL CONFERENCE (ECC), 2015, : 3352 - 3357
  • [27] Time-optimal control of DC-DC buck converter using single-input fuzzy augmented fractional-order PI controller
    Saleem, Omer
    Shami, Umar Tabrez
    Mahmood-ul-Hasan, Khalid
    INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2019, 29 (10)
  • [28] Near Time-Optimal Model Predictive Control using an L1-Norm based Cost Functional
    Doetlinger, Alexander
    Kennel, Ralph M.
    2014 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2014, : 3504 - 3511
  • [29] Model-Predictive-Control-Based Time-Optimal Trajectory Planning of the Distributed Actuation Mechanism Augmented by the Maximum Performance Evaluation
    Kim, Jong Ho
    Choi, Kyunghwan
    Jang, In Gwun
    APPLIED SCIENCES-BASEL, 2021, 11 (16):
  • [30] A predictive neural hierarchical framework for on-line time-optimal motion planning and control of black-box vehicle models
    Piccinini, Mattia
    Larcher, Matteo
    Pagot, Edoardo
    Piscini, Davide
    Pasquato, Leone
    Biral, Francesco
    VEHICLE SYSTEM DYNAMICS, 2023, 61 (01) : 83 - 110