Using Programmable Logic to Enable Adaptable Networks

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Geliefert zwischen Mo., 02.03.2026 und Di., 03.03.2026

Details

In order to accommodate rapid contemporary networks evolution, in a scalable and cost-effective manner, it is desirable to have an adaptable network which deploys a reconfigurable logic device to modify or change the processing element and the corresponding protocol, when needed. To address this requirement, this book presents a novel adaptable network framework which provides predefined adaptation and non-predefined adaptation to fulfil the flexibility. In the non-predefined adaptation framework, networks can dynamically update the network elements at either the system level or the function level after the system has been deployed; in the predefined adaptation framework, the network elements are provided with different adaptable functional components at the time of deployment and these are chosen as required by service level agreements on the fly. This book should help shed some light on this new and exciting programmable future networks, and should be especially useful to professionals in reconfigurable computing and communications fields, or anyone else who may be considering utilising reconfigurable logics for programmable network devices in future communication networks.

Autorentext

He has a BSc from Southwest Jiaotong University, China, at 2003, MSc and PhD from University of Essex, UK, all in Electronic Engineering, at 2004 and 2010 respectively. He was a Senior Research Officer at High Performance Networks Group (HPNG) in University of Essex from 2007 to 2012.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783659161322
    • Sprache Englisch
    • Auflage Aufl.
    • Größe H220mm x B220mm
    • Jahr 2012
    • EAN 9783659161322
    • Format Kartonierter Einband (Kt)
    • ISBN 978-3-659-16132-2
    • Titel Using Programmable Logic to Enable Adaptable Networks
    • Autor Yixuan Qin , Martin Reed
    • Untertitel The Design and Implementation
    • Herausgeber LAP Lambert Academic Publishing
    • Anzahl Seiten 180
    • Genre Informatik

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