Modeling and performance prediction of IP multimedia subsystem networks
Abstract (Summary)
RAJAGOPAL, NISHA. Modeling and Performance Prediction of IP Multimedia Subsystem
Networks. (Under the direction of Professor Michael Devetsikiotis).
IP Multimedia Subsystem (IMS) is envisioned as the solution for the next generation
multimedia rich communication. Based on an open IP infrastructure, IMS enables
access independent convergence of data, speech, video and mobile network technologies.
Session Initiation Protocol (SIP) is the signaling protocol of choice for IMS. In this thesis,
we propose service models for IMS networks with utility functions. These service models
act as control mechanisms to optimize network properties.
We analyze the IMS network based on the SIP signaling delay and predict performance
trends of the network. Our focus is on the formulation of queueing models for the
IMS network and characterization of the SIP server workload. This approach of theoretical
evaluation combined with realistic performance characterization can be used for designing
IMS networks with optimal performance. Our analysis is based on a careful study of real-life
SIP network traffic.
Modeling and Performance Prediction of IP Multimedia Subsystem
Networks
by
Bibliographical Information:
Advisor:
School:North Carolina State University
School Location:USA - North Carolina
Source Type:Master's Thesis
Keywords:north carolina state university
ISBN:
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