Name: A Study on Enum Delegation Model: An Autonomic Simulation Platform for Studying and Optimizing Addressing Issues in ngn (en Inglés)
SKU: 25763643
Price: 66.06 USD
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Author: Sandoche Balakrichenan

portada A Study on Enum Delegation Model: An Autonomic Simulation Platform for Studying and Optimizing Addressing Issues in ngn (en Inglés)

A Study on Enum Delegation Model: An Autonomic Simulation Platform for Studying and Optimizing Addressing Issues in ngn (en Inglés)

Formato

Libro Físico

Editorial

Lap Lambert Academic Publishing

Autor

Sandoche Balakrichenan

Año

2012

Idioma

Inglés

N° páginas

164

Encuadernación

Tapa Blanda

ISBN

3659150088

ISBN13

9783659150081

Categorías

Redes y comunicaciones informáticas

A Study on Enum Delegation Model: An Autonomic Simulation Platform for Studying and Optimizing Addressing Issues in ngn (en Inglés)

Sandoche Balakrichenan (Autor) · Lap Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "A Study on Enum Delegation Model: An Autonomic Simulation Platform for Studying and Optimizing Addressing Issues in ngn (en Inglés)"

We focus on studying the addressing issues in Next Generation Networks; between traditional telephony and the Internet world. Addressing users and services uniquely across network boundaries without exploding the address space is one of the key challenges of NGN. ENUM uses a single address identifier for communicating with multiple communication services across different types of networks. Difficulty in studying real ENUM implementation is the motivation to implement a simulation platform. We designed a new way to measure and model the local performance of DNS servers of the French ENUM model. We also modeled and measured the IP links connecting the DNS namely; Resolver, Cache and Authoritative servers. Finally we created a simulation model which enables us to simulate ENUM traffic. This platform needs to be autonomic, so that it can adapt itself depending on the input configuration. In this thesis work we explain how the simulation model is designed to be an autonomic simulation platform. Different experiments are run using the simulation model, and we present how the solutions obtained from the simulation can be used as recommendations back in real implementation