NDLI: Estimation of Multiplexing Gain on Small Business VoIP Networks

Content Provider	IEEE Xplore Digital Library
Author	Kis, S.M. Biro, J. Szekely, S.
Copyright Year	2007
Description	Author affiliation: Budapest Univ. of Technol. & Econ., Budapest (Kis, S.M.; Biro, J.)
Abstract	In this paper we shall establish a set of dimensioning rules for different VoIP networks using various measurement-based user behavior properties as input parameters. In order to solve the problem of dimensioning VoIP networks we focus on the aggregated VoIP links. These dimensioning procedures undoubtedly play an important role in efficiently operating extreme telephony networks like call centers and Small Businesses. Such special networks produce traffic characteristics significantly different from those of PSTN networks or general VoIP networks. Our purpose is to use simple input parameters in order to estimate the traffic characteristics of a certain link. By keeping the QoS parameters in sufficient range we present a solution to approximate link usage. The communication may be characterized with special properties such as few but very active subscribers, high internal call rate, very long-, or very short call durations, etc. In this way a simple and useful dimensioning method is achieved, utilizing the very properties of such networks, which may reduce the number of required voice channels operated.
Starting Page	913
Ending Page	919
File Size	901196
Page Count	7
File Format	PDF
ISBN	9781424415205
ISSN	15301346
DOI	10.1109/ISCC.2007.4381492
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Internet telephony Telecommunication traffic IP networks Costs Informatics Business communication Search engines Companies Bandwidth Access protocols
Content Type	Text
Resource Type	Article
Subject	Signal Processing Mathematics Computer Networks and Communications Computer Science Applications Software

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