Modeling and Performance Prediction of IP Multimedia Subsystem Networks

Abstract

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.