DocumentCode :
1121396
Title :
Resource Dimensioning Through Buffer Sampling
Author :
Mandjes, Michel ; Van de Meent, Remco
Author_Institution :
Univ. of Amsterdam, Amsterdam, Netherlands
Volume :
17
Issue :
5
fYear :
2009
Firstpage :
1631
Lastpage :
1644
Abstract :
Link dimensioning, i.e., selecting a (minimal) link capacity such that the users´ performance requirements are met, is a crucial component of network design. It requires insight into the interrelationship among the traffic offered (in terms of the mean offered load M, but also its fluctuation around the mean, i.e., `burstiness´), the envisioned performance level, and the capacity needed. We first derive, for different performance criteria, theoretical dimensioning formulas that estimate the required capacity C as a function of the input traffic and the performance target. For the special case of Gaussian input traffic, these formulas reduce to C=M + alpha V, where alpha directly relates to the performance requirement (as agreed upon in a service level agreement) and V reflects the burstiness (at the timescale of interest). We also observe that Gaussianity applies for virtually all realistic scenarios; notably, already for a relatively low aggregation level, the Gaussianity assumption is justified.
Keywords :
Gaussian processes; IP networks; sampling methods; telecommunication traffic; Gaussian traffic; IP nodes; buffer sampling; network design; resource dimensioning; Buffer sampling; Gaussian traffic; inversion; large deviations; network dimensioning; quality-of-service;
fLanguage :
English
Journal_Title :
Networking, IEEE/ACM Transactions on
Publisher :
ieee
ISSN :
1063-6692
Type :
jour
DOI :
10.1109/TNET.2008.2009989
Filename :
5152971
Link To Document :
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