GPU-based acceleration of SDN controllers

GPU-based acceleration of SDN controllers

For access to this article, please select a purchase option:

Buy chapter PDF
(plus tax if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
Network as a Service for Next Generation Internet — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

SDN is a new network operation and management solution, which decouples the control and data planes in a communication network. SDN makes it easier for network administrators to create, modify, and manage dynamic networks by abstracting low level functions and network structure. Generally, SDN uses a centralized controller, which offers a global view of the entire network. This new feature offers the flexibility for administrators to define the strategies in terms of how the network flow is forwarded on a software level. With the advancing of the research on SDN, however, distributed SDN controllers are also introduced by researchers. One reason for the emerging of distributed SDN controller is: it can address the problems of scalability, reliability, and performance issues that a centralized SDN controller suffers from acceleration

Chapter Contents:

  • 14.1 Introduction
  • 14.1.1 What is SDN?
  • 14.1.2 SDN, benefits, and challenges
  • Centralized control and management
  • Decoupling of control and data forwarding
  • Application centric
  • Benefits brought by distributed controller solutions
  • 14.1.3 Summary
  • 14.2 Existing SDN controller solutions
  • 14.2.1 OpenFlow
  • 14.2.2 Existing SDN controller implementations
  • 14.3 Existing SDN controller solutions
  • 14.3.1 GPU acceleration
  • 14.3.2 GPU accelerated SDN controller
  • 14.4 Case study
  • 14.4.1 Experimental setup
  • 14.4.2 Throughput and latency
  • 14.5 Open issues and challenges
  • 14.6 Conclusion
  • Acknowledgment
  • References

Inspec keywords: software defined networking; computer network management; graphics processing units

Other keywords: network management; software-defined networking; GPU-based acceleration; distributed SDN controllers; network operation; graphics processing unit

Subjects: Network management; Microprocessor chips; Computer communications; Computer networks and techniques

Preview this chapter:
Zoom in

GPU-based acceleration of SDN controllers, Page 1 of 2

| /docserver/preview/fulltext/books/te/pbte073e/PBTE073E_ch14-1.gif /docserver/preview/fulltext/books/te/pbte073e/PBTE073E_ch14-2.gif

Related content

This is a required field
Please enter a valid email address