DocumentCode
2855247
Title
Service Utility Optimization Model Based on User Preferences in Multiservice IP Networks
Author
DERBEL, Hajer ; Agoulmine, Nazim ; Salaun, Mikael
Author_Institution
Network & Multimedia Syst. Res. Group, Univ. of Evry, Evry
fYear
2007
fDate
26-30 Nov. 2007
Firstpage
1
Lastpage
5
Abstract
The optimization is an essential process for operators to ensure the best networks performance as well as an adequate return on investment. In the case of a multiservice IP network, this process consists on providing high-quality services to end users with the aim of maximizing their satisfaction. To achieve this goal, we propose an analytical model to quantify the Quality of Experience (QoE) parameter that evaluates the perceived service quality as well as the user satisfaction level. This model aims to optimize services utility according to the user preferences and the available bandwidth. It consists on evaluating: i) the estimated user´s utility function according to the user´s available bandwidth, ii) the network delivered utility function and finally iii) the QoE and the service cost. We define also a recursive process that allow to auto-adapt the services utility for the end users by adjusting the service importance parameter. Finally, in order to validate our proposed model and the service utility adaptation process, we carried out a set of simulations that we describe in the last section of this paper.
Keywords
IP networks; bandwidth allocation; optimisation; quality of service; available bandwidth; high-quality services; multiservice IP networks; network delivered utility function; quality of experience parameter; recursive process; return on investment; service utility optimization model; user preferences; user satisfaction level; utility function; Analytical models; Bandwidth; Constraint optimization; Cost function; IP networks; Investments; Multimedia systems; Quality of service; Research and development; Telecommunications;
fLanguage
English
Publisher
ieee
Conference_Titel
Globecom Workshops, 2007 IEEE
Conference_Location
Washington, DC
Print_ISBN
978-1-4244-2024-7
Type
conf
DOI
10.1109/GLOCOMW.2007.4437817
Filename
4437817
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