DocumentCode
1294483
Title
On the convergence of traffic measurement and queueing analysis: a statistical-matching and queueing (SMAQ) tool
Author
Li, San-qi ; Hwang, Chia-Lin
Author_Institution
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Volume
5
Issue
1
fYear
1997
fDate
2/1/1997 12:00:00 AM
Firstpage
95
Lastpage
110
Abstract
The analytical tool developed by the authors provides a general solution technique for integration of traffic measurement and queueing analysis. The frequency-domain approach is used to combine the advanced techniques in two areas: signal processing and queueing analysis. Essentially, signal processing techniques are used to obtain the steady-state and second-order statistics of a traffic stream. We propose a new programming method for the construction of a special class of Markov chains to statistically match with each given traffic stream (or superposition of heterogeneous traffic streams). The analytical queueing solutions can therefore be obtained by the folding-algorithm based on Markov chain input modeling. Comprehensive numerical examples show the great potential of the statistical-matching and queueing (SMAQ) tool to solve measurement-based traffic management issues
Keywords
Markov processes; frequency-domain analysis; maintenance engineering; programming environments; queueing theory; signal processing; statistical analysis; telecommunication computing; telecommunication network management; telecommunication traffic; Markov chain input modeling; Markov chains; analytical queueing solutions; folding-algorithm; frequency-domain approach; heterogeneous traffic streams superposition; measurement based traffic management; programming method; second-order statistics; signal processing; statistical matching and queueing tool; steady-state statistics; traffic measurement; traffic queueing analysis; traffic stream; Convergence; Higher order statistics; Queueing analysis; Signal analysis; Signal processing; Signal processing algorithms; Statistical distributions; Steady-state; Telecommunication traffic; Traffic control;
fLanguage
English
Journal_Title
Networking, IEEE/ACM Transactions on
Publisher
ieee
ISSN
1063-6692
Type
jour
DOI
10.1109/90.554725
Filename
554725
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