particle algorithms, prediction, user-profiles, VoIP
Résumé :
[en] An important problem one needs to deal with in
a Voice over IP system is server overload. One way for pre-
venting such problems is to rely on prediction techniques for
the incoming traffic, namely as to proactively scale the avail-
able resources. Anticipating the computational load induced
on processors by incoming requests can be used to optimize
load distribution and resource allocation. In this study, the
authors look at how the user profiles, peak hours or call pat-
terns are shaped for a real system and, in a second step, at
constructing a model that is capable of predicting trends.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
SIMIONOVICI, Ana-Maria ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Tantar, Alexandru; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
BOUVRY, Pascal ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Didelot, Loic; MIXvoip S.a, Luxembourg
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
Predictive Modeling in a VoIP System
Date de publication/diffusion :
septembre 2013
Titre du périodique :
Journal of Telecommunications and Information Technology
ISSN :
1509-4553
eISSN :
1899-8852
Maison d'édition :
National Institute of Telecommunications, Warsaw, Pologne
