SDN: Software Defined Networks Front Cover

SDN: Software Defined Networks

  • Length: 384 pages
  • Edition: 1
  • Publisher:
  • Publication Date: 2013-09-04
  • ISBN-10: 1449342302
  • ISBN-13: 9781449342302
  • Sales Rank: #1142043 (See Top 100 Books)
Description

Explore the emerging definitions, protocols, and standards for SDN—software-defined, software-driven, programmable networks—with this comprehensive guide. Two senior network engineers show you what’s required for building networks that use software for bi-directional communication between applications and the underlying network infrastructure.

This vendor-agnostic book also presents several SDN use cases, including bandwidth scheduling and manipulation, input traffic and triggered actions, as well as some interesting use cases around big data, data center overlays, and network-function virtualization. Discover how enterprises and service providers alike are pursuing SDN as it continues to evolve.

  • Explore the current state of the OpenFlow model and centralized network control
  • Delve into distributed and central control, including data plane generation
  • Examine the structure and capabilities of commercial and open source controllers
  • Survey the available technologies for network programmability
  • Trace the modern data center from desktop-centric to highly distributed models
  • Discover new ways to connect instances of network-function virtualization and service chaining
  • Get detailed information on constructing and maintaining an SDN network topology
  • Examine an idealized SDN framework for controllers, applications, and ecosystems

Table of Contents

Chapter 1. Introduction
Chapter 2. Centralized and Distributed Control and Data Planes
Chapter 3. OpenFlow
Chapter 4. SDN Controllers
Chapter 5. Network Programmability
Chapter 6. Data Center Concepts and Constructs
Chapter 7. Network Function Virtualization
Chapter 8. Network Topology and Topological Information Abstraction
Chapter 9. Building an SDN Framework
Chapter 10. Use Cases for Bandwidth Scheduling, Manipulation, and Calendaring
Chapter 11. Use Cases for Data Center Overlays, Big Data, and Network Function Virtualization
Chapter 12. Use Cases for Input Traffic Monitoring, Classification, and Triggered Actions
Chapter 13. Final Thoughts and Conclusions

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