Extremal shape-controlled traffic patterns in high-speed networks

被引:13
|
作者
Kesidis, G
Konstantopoulos, T
机构
[1] Univ Waterloo, Dept Elect & Comp Engn, Waterloo, ON N2L 3G1, Canada
[2] Univ Texas, Dept Elect & Comp Engn, Austin, TX 78712 USA
基金
加拿大自然科学与工程研究理事会; 美国国家科学基金会;
关键词
communication system traffic; information rates; traffic control (communication);
D O I
10.1109/26.843194
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We consider a variable bit-rate connection with a deterministically shaped random traffic process, as specified by communications networking standards. Regarding randomness, we assume no restricted model other than the natural requirement that the process be stationary and ergodic, Given only the shape parameters, we consider the open problem of determining the maximum service bandwidth required to achieve a given bound on the probability that the packet-transfer delay exceeds a certain threshold. The shape parameters together with a probabilistic bound on packet-transfer delay define a variable bit-rate "channel;" an equivalent problem is to determine the "capacity" of this channel. To this end, we consider a queue with a constant service rate and a shaped arrival process and obtain tight bounds on queue occupancy and queueing delay. In particular, we describe that traffic pattern (among all stationary-ergodic and deterministically constrained arrival processes) which achieves the probabilistic bound.
引用
收藏
页码:813 / 819
页数:7
相关论文
共 50 条
  • [31] AN APPROXIMATION METHOD FOR CAPTURING COMPLEX TRAFFIC BEHAVIOR IN HIGH-SPEED NETWORKS
    GUN, L
    PERFORMANCE EVALUATION, 1994, 19 (01) : 5 - 23
  • [32] High-Speed Query Processing over High-Speed Networks
    Roediger, Wolf
    Muehlbauer, Tobias
    Kemper, Alfons
    Neumann, Thomas
    PROCEEDINGS OF THE VLDB ENDOWMENT, 2015, 9 (04): : 228 - 239
  • [33] Shape-controlled porous nanocarbons for high performance supercapacitors
    Chen, Wei
    Rakhi, R. B.
    Hedhili, M. N.
    Alshareef, H. N.
    JOURNAL OF MATERIALS CHEMISTRY A, 2014, 2 (15) : 5236 - 5243
  • [34] High-speed rail traffic in Germany
    Rail Int, 8-9 (62-63):
  • [35] Vehicle developments for high-speed traffic
    Jansch, E.
    Eisenbahningenieur, 2001, 52 (09): : 77 - 92
  • [36] High-speed network traffic model
    Shang, FJ
    Tang, H
    PROCEEDINGS OF THE THIRD INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION SCIENCE AND TECHNOLOGY, VOL 1, 2004, : 529 - 533
  • [37] HIGH-SPEED CONTROLLED ATTENUATOR
    YAMNYI, VE
    BELONOSOV, YI
    PODOLNYI, EI
    INSTRUMENTS AND EXPERIMENTAL TECHNIQUES, 1977, 20 (03) : 751 - 752
  • [38] Estimation and prediction of VBR traffic in high-speed networks using LMS filters
    Randhawa, TS
    Hardy, RHS
    ICC 98 - 1998 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS VOLS 1-3, 1998, : 253 - 258
  • [39] Applications of SMP Bounds to Multi-class Traffic in High-speed Networks
    N. Gautam
    V.G. Kulkarni
    Queueing Systems, 2000, 36 : 351 - 379
  • [40] Priority queueing analysis of self-similar traffic in high-speed networks
    Quan, Z
    Chung, JM
    2003 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-5: NEW FRONTIERS IN TELECOMMUNICATIONS, 2003, : 1606 - 1610