Heavy tails and long range dependence in on/off processes and associated fluid models

被引:104
作者
Heath, D [1 ]
Resnick, S [1 ]
Samorodnitsky, G [1 ]
机构
[1] Cornell Univ, Sch Operat Res & Ind Engn, Ithaca, NY 14853 USA
关键词
long range dependence; heavy tails; on/off models; G/G/1; queue; fluid models;
D O I
10.1287/moor.23.1.145
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
On/off models are common inputs for a variety of communication network models as well as storage and inventory models. A stationary renewal process alternating periods of activity (active transmission, fluid buildup, etc) with periods of inactivity (silence, no transmission, inputs off, etc) induces a stationary indicator process which indicates if the system is active or not. Heavy tails for the on periods induces a covariance function for the indicator process which decreases slowly at a rate characteristic of long range dependence. This has dramatic consequences for fluid models where fluid flows in at constant rate and there is a constant rate of release.
引用
收藏
页码:145 / 165
页数:21
相关论文
共 24 条
  • [1] ANANTHARAM V, 1995, P 34 IEEE C DEC CONT, V1, P859
  • [2] [Anonymous], CWI TRACT
  • [3] Asmussen S, 2008, APPL PROBABILITY QUE, V51
  • [4] Bingham N., 1987, ENCY MATH ITS APPL
  • [5] Heavy traffic analysis of a storage model with long range dependent on/off sources
    Brichet, F
    Roberts, J
    Simonian, A
    Veitch, D
    [J]. QUEUEING SYSTEMS, 1996, 23 (1-4) : 197 - 215
  • [6] Long-tail buffer-content distributions in broadband networks
    Choudhury, GL
    Whitt, W
    [J]. PERFORMANCE EVALUATION, 1997, 30 (03) : 177 - 190
  • [7] COHEN JW, 1972, ANN I H POINCARE B, V8, P255
  • [8] CROVELLA ME, 1996, P ACM SIGMETRICS 96, P160
  • [9] Cunha Carlos R, CHARACTERISTICS WWW
  • [10] Experimental queueing analysis with long-range dependent packet traffic
    Erramilli, A
    Narayan, O
    Willinger, W
    [J]. IEEE-ACM TRANSACTIONS ON NETWORKING, 1996, 4 (02) : 209 - 223