DocumentCode :
3087127
Title :
Framework for Modeling Call Holding Time for VoIP Tandem Networks: Introducing the Call Cease Rate Function
Author :
Al Ajarmeh, Imad ; Yu, James ; Amezziane, Mohamed
Author_Institution :
Sch. of Comput. & Digital Media, DePaul Univ., Chicago, IL, USA
fYear :
2011
fDate :
5-9 Dec. 2011
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents a new approach to modeling call holding time of VoIP traffic on tandem networks. Call holding time is a key variable of traffic engineering models, and the traditional Erlang-B model uses the negative exponential function to model call holding time. Our study of hundreds of millions of telephone calls shows that the exponential assumption is not valid for modern large-scale VoIP networks. We propose to use time-to-event analysis which consists of fitting a parametric model to the call cease rate. Then we study several probability distribution functions and compare their capability to model the VoIP call departure rate. We find that both the log-logistic and the generalized gamma distributions provide a good fit for the data. Our statistical analysis shows that the approach of call cease rate provides more accurate results than the traditional exponential and log-normal holding time models.
Keywords :
Internet telephony; gamma distribution; statistical analysis; telecommunication traffic; Erlang-B model; VoIP call departure rate; VoIP traffic tandem networks; call cease rate function; call holding time modelling; generalized gamma distributions; log-logistic model; log-normal holding time models; negative exponential function; probability distribution functions; statistical analysis; time-to-event analysis; traffic engineering models; Computational modeling; Data models; Exponential distribution; IEEE Communications Society; Log-normal distribution; Mathematical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE
Conference_Location :
Houston, TX, USA
ISSN :
1930-529X
Print_ISBN :
978-1-4244-9266-4
Electronic_ISBN :
1930-529X
Type :
conf
DOI :
10.1109/GLOCOM.2011.6134507
Filename :
6134507
Link To Document :
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