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Fetia Bannour - Software-Defined Networking 2: Extending SDN Control to Large-Scale Networks

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This book reviews the concept of Software-Defined Networking (SDN) by studying the SDN architecture. It provides a detailed analysis of state-of-the-art distributed SDN controller platforms by assessing their advantages and drawbacks and classifying them in novel ways according to various criteria.

Additionally, a thorough examination of the major challenges of existing distributed SDN controllers is provided along with insights into emerging and future trends in that area. Decentralization challenges in large-scale networks are tackled using three novel approaches, applied to the SDN control plane presented in the book. The first approach addresses the SDN controller placement optimization problem in large-scale IoT-like networks by proposing novel scalability and reliability aware controller placement strategies. The second and third approaches tackle the knowledge sharing problem between the distributed controllers by suggesting adaptive multilevel consistency models following the concept of continuous Quorum-based consistency. These approaches have been validated using different SDN applications, developed from real-world SDN controllers.

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Table of Contents List of Tables Chapter 2 Chapter 3 Chapter 4 Chapter - photo 1
Table of Contents
List of Tables
  1. Chapter 2
  2. Chapter 3
  3. Chapter 4
  4. Chapter 5
List of Illustrations
  1. Chapter 1
  2. Chapter 2
  3. Chapter 3
  4. Chapter 4
  5. Chapter 5
Guide
Pages

To my parents, my sisters and my wonderful readers
Fetia Bannour

To my beloved family, my wife and my dear children
Sami Souihi

To my oldest, beloved and magnificent daughter Ikram on her birthday this year.
Abdelhamid Mellouk

New Generation Networks Set

coordinated by
Abdelhamid Mellouk

Volume 2


Software-Defined Networking

Extending SDN Control to Large-Scale Networks

Fetia Bannour
Sami Souihi
Abdelhamid Mellouk

First published 2022 in Great Britain and the United States by ISTE Ltd and - photo 2

First published 2022 in Great Britain and the United States by ISTE Ltd and John Wiley & Sons, Inc.

Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms and licenses issued by the CLA. Enquiries concerning reproduction outside these terms should be sent to the publishers at the undermentioned address:

ISTE Ltd
27-37 St Georges Road
London SW19 4EU
UK
John Wiley & Sons, Inc.
111 River Street
Hoboken, NJ 07030
USA
www.iste.co.ukwww.wiley.com

ISTE Ltd 2022
The rights of Fetia Bannour, Sami Souihi and Abdelhamid Mellouk to be identified as the authors of this work have been asserted by them in accordance with the Copyright, Designs and Patents Act 1988.

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s), contributor(s) or editor(s) and do not necessarily reflect the views of ISTE Group.

Library of Congress Control Number: 2022941880


British Library Cataloguing-in-Publication Data
A CIP record for this book is available from the British Library
ISBN 978-1-78630-849-8


Acronyms
APIApplication Programming Interface
ASAutonomous System
CAPConsistency Availability Performance
CDNContent Delivery Network
CLARAClustering LARge Applications
CPPController Placement Problem
DDBSDistributed DataBase System
DHTDistributed Hash Table
DoSDenial-of-Service
ForCESForwarding and Control Element Separation
FSMFinite-State Machine
IETFInternet Engineering Task Force
IoTInternet of Things
IXPInternet eXchange Point
MD-SALModel-Driven Service Abstraction Layer
MLMachine Learning
MOCOMulti-Objective Combinatorial Optimization
NIBNetwork Information Base
NSGA-IINon-dominated Sorting Genetic Algorithm II
ODLOpenDayLight
OFOpenFlow
ONFOpen Networking Foundation
ONOSOpen Network Operating System
PACELCPartition, tradeoff Availability and Consistency, Else, tradeoff Latency and Consistency
PAMPartitioning Around Medoids
POCOPareto-Optimal COntroller
PSAPareto Simulated Annealing
QLQ-Learning
QoEQuality of Experience
QoSQuality of Service
RLReinforcement Learning
RSMReplicated State Machine
SDNSoftware-Defined Networking
SDXSoftware-Defined eXchange
SLAService-Level Agreement
SPOFSingle Point of Failure
TETraffic Engineering
UDPUser Datagram Protocol
WANWide Area Network
XFSMeXtended Finite-State Machine
Preface

Due to the emergence of new kinds of communication and networking technologies (e.g. the Internet of Things (IoT), mobile trends, network virtualization) and the rise of many advanced services (e.g. real-time services, e-health, multimedia, smart cities, gaming) supported by these technologies, todays networks considered relatively static, ossified and challenging to manage are no longer suitable to handle the complexity and diversity of network information being disseminated in todays modern and dynamic networking environments.

There is a strong need to shift the current network architecture to a new model that adapts to such changes and leverages new control strategies to ease network management and automation, leading to better network performance and lower operating costs. In this context, software-defined networking (SDN) has emerged as a new networking paradigm that decouples network control and forwarding functions, enabling the network control to become directly programmable and the underlying infrastructure to be abstracted for applications and services.

SDN attempts to centralize the network control, thus offering improved visibility and flexibility to manage the network, optimize its performance and reduce its operating costs. However, centralized SDN designs, in which the control plane logic is physically centralized in a single software component called the SDN controller, present numerous challenges including the issues of control plane reliability, scalability and performance. To meet these challenges, it is necessary for the SDN control architecture to evolve toward a physically decentralized system. However, such physically distributed but logically centralized SDN platforms bring additional challenges.

In this book, we aim to provide a thorough exploration of the SDN technology and, more importantly, we deal with the SDN decentralization problem in the context of large-scale networks. We propose novel approaches to decentralize the SDN control plane without forgoing the centralization benefits of SDN. Part of this book was initially based on the work conducted within the framework of Fetia Bannours PhD thesis. This work was subsequently developed into a book to facilitate understanding of the decentralized SDN control plane. The latter may indeed be implemented using the existing distributed SDN controllers. However, their significant number, along with their particular pros and cons, made the choice extremely difficult for those who attempted to adopt a distributed SDN architecture in large-scale deployments.

To provide useful guidelines for such SDN research and deployment initiatives, this book reviews the SDN concept by studying the SDN architecture compared to the traditional one and provides a detailed analysis of state-of-the-art distributed SDN controller platforms by assessing their advantages and drawbacks, classifying them in novel ways (physical and logical classifications) and comparing them with respect to various criteria. Additionally, a thorough discussion on the major challenges of existing distributed SDN controller platforms is provided along with insights into emerging and future trends in that area. Furthermore, to tackle some of the most prominent challenges related to the decentralization of the SDN control plane in large-scale networks, three novel approaches are proposed in this book.

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