Heavy Tails and Long Range Dependence in On/Off Processes and Associated Fluid Models
Author(s) -
David Heath,
Sidney I. Resnick,
Gennady Samorodnitsky
Publication year - 1998
Publication title -
mathematics of operations research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.619
H-Index - 83
eISSN - 1526-5471
pISSN - 0364-765X
DOI - 10.1287/moor.23.1.145
Subject(s) - constant (computer programming) , range (aeronautics) , covariance , mathematics , process (computing) , function (biology) , statistical physics , stationary process , transmission (telecommunications) , mechanics , biological system , econometrics , statistics , physics , computer science , materials science , biology , evolutionary biology , composite material , programming language , operating system , telecommunications
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.
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