152 Copyright © 2013, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Chapter 12 INTRODUCTION The next generation networks (NGNs) are expected to be packet-based networks that provide various services including traditional telecommunications. The NGNs use broadband transport technologies that enable quality of service (QoS) manage- ment, and in which service-related functions are independent from underlying transport-related technologies. Additionally, the next generation networks offer unrestricted access to different service providers and support generalized mobility that allows consistent and ubiquitous provision of services to users. The NGNs that we consider in this paper can be defined with the following fundamental characteristics, including: Izabella Lokshina SUNY College at Oneonta, USA Modeling and Simulation of Traffc with Integrated Services at Media Getaway Nodes in Next Generation Networks ABSTRACT This paper is devoted to modeling and simulation of traffc with integrated services at media gateway nodes in the next generation networks, based on Markov reward models (MRM). The bandwidth sharing policy with the partial overlapped transmission link is considered. Calls arriving to the link that belong to VBR and ABR traffc classes, are presented as independent Poisson processes and Markov processes with constant intensity and/or random input stream, and exponential service delay time that is defned according to MRM. Traffc compression is calculated using clustering and learning vector quantifca- tion (e.g., self-organizing neural map). Numerical examples and simulation results are provided for communication networks of various sizes. Compared with the other methods for traffc compression calculations, the suggested approach shows substantial reduction in numerical complexity. DOI: 10.4018/978-1-4666-2154-1.ch012