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GPU-based acceleration of SDN controllers

GPU-based acceleration of SDN controllers

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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
  • 14.1.2.1 Centralized control and management
  • 14.1.2.2 Decoupling of control and data forwarding
  • 14.1.2.3 Application centric
  • 14.1.2.4 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

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