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Distributed controller clustering in software defined networks.

Ahmed Abdelaziz1, Ang Tan Fong1, Abdullah Gani1

  • 1Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia.

Plos One
|April 7, 2017
PubMed
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This study introduces a clustered distributed controller architecture for Software Defined Networking (SDN), enhancing reliability and performance. The novel approach significantly reduces latency and packet loss in real-world network simulations.

Area of Science:

  • Computer Science
  • Network Engineering

Background:

  • Software Defined Networking (SDN) offers centralized network intelligence but faces challenges in reliability, scalability, fault tolerance, and interoperability due to its centralized control.
  • Existing SDN architectures struggle to maintain performance and continuous operation under fluctuating loads or controller failures.

Purpose of the Study:

  • To propose and evaluate a novel clustered distributed controller architecture for Software Defined Networking (SDN).
  • To address the inherent reliability, scalability, fault tolerance, and interoperability challenges in SDN environments.

Main Methods:

  • Developed a clustered distributed controller architecture integrating multiple popular SDN controllers.
  • Evaluated the proposed mechanism on a real-world network topology within an emulated SDN environment.

Related Experiment Videos

  • Compared performance metrics against a distributed controller without clustering using HP VAN SDN and ONOS controllers.

    • Main Results:

    • Achieved significant reductions in average latency (from 8.1% to 1.6%) and packet loss (from 5.22% to 4.15%).
    • Demonstrated reasonable CPU utilization compared to existing distributed controller setups.
    • Showcased the ability to handle unexpected load fluctuations and maintain continuous network operation during controller failures.

    Conclusions:

    • The proposed clustered distributed controller architecture effectively enhances the reliability, scalability, and fault tolerance of SDN networks.
    • This mechanism provides a robust solution for managing network performance and ensuring continuous operation in dynamic environments.
    • The findings represent a significant step towards overcoming critical challenges in SDN implementation and management.