Welcome to the InfoSci Platform
Reference Hub4
Modeling and Simulation of Traffic with Integrated Services at Media Getaway Nodes in Next Generation Networks

Modeling and Simulation of Traffic with Integrated Services at Media Getaway Nodes in Next Generation Networks

Izabella Lokshina
Copyright: © 2011 |Volume: 3 |Issue: 3 |Pages: 14
ISSN: 1941-8663|EISSN: 1941-8671|EISBN13: 9781613508053|DOI: 10.4018/ijitn.2011070101
Cite Article Cite Article

MLA

Lokshina, Izabella. "Modeling and Simulation of Traffic with Integrated Services at Media Getaway Nodes in Next Generation Networks." IJITN vol.3, no.3 2011: pp.1-14. http://doi.org/10.4018/ijitn.2011070101

APA

Lokshina, I. (2011). Modeling and Simulation of Traffic with Integrated Services at Media Getaway Nodes in Next Generation Networks. International Journal of Interdisciplinary Telecommunications and Networking (IJITN), 3(3), 1-14. http://doi.org/10.4018/ijitn.2011070101

Chicago

Lokshina, Izabella. "Modeling and Simulation of Traffic with Integrated Services at Media Getaway Nodes in Next Generation Networks," International Journal of Interdisciplinary Telecommunications and Networking (IJITN) 3, no.3: 1-14. http://doi.org/10.4018/ijitn.2011070101

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

This paper is devoted to modeling and simulation of traffic 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 traffic 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 defined according to MRM. Traffic compression is calculated using clustering and learning vector quantification (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 traffic compression calculations, the suggested approach shows substantial reduction in numerical complexity.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.