Personal tools
 

Next-generation SDN

Interlaken_Switzerland_DSC_0489
(Interlaken, Switzerland - Alvin Wei-Cheng Wong)

- Overview

Next-generation Software Defined Networking (NG-SDN) refers to the evolution of traditional Software Defined Networking (SDN) technology, incorporating advanced features like enhanced automation, intelligent traffic management, cloud integration, improved security, and greater scalability to meet the demands of modern, complex network environments, allowing for more dynamic and responsive network management across diverse applications and infrastructure.

Key characteristics  of next-generation SDN:

  • AI and Machine Learning: Utilizing AI algorithms to analyze network data, predict traffic patterns, and automatically optimize network performance based on real-time conditions.
  • Application-aware routing: Prioritizing specific applications based on their criticality, ensuring optimal network performance for key business functions.
  • Multi-cloud integration: Seamless management of network resources across different cloud platforms, enabling flexible deployment and scaling.
  • Enhanced security: Implementing advanced security features like micro-segmentation, zero-trust network access, and intrusion detection within the SDN architecture.
  • DevOps integration: Streamlining network configuration and management through integration with DevOps practices and tools for faster deployment and updates.


- NG-SDN vs Tradional SDN

How NG-SDN differs from traditional SDN:
  • Greater control plane programmability: Traditional SDN may have limitations in how deeply the control plane can be customized, while NG-SDN allows for fine-grained control over network behavior. 
  • Advanced network verification: NG-SDN incorporates more robust verification mechanisms to ensure network performance and security are aligned with defined policies.
  • Greater automation: Beyond basic configuration tasks, NG-SDN leverages automation for complex network operations like load balancing, traffic engineering, and self-healing mechanisms.
  • Advanced analytics: In-depth network analysis with real-time data to identify potential issues, optimize network performance, and gain valuable insights.
  • Open APIs and ecosystem: Wider adoption of open standards and APIs to facilitate integration with diverse vendor solutions and third-party applications.
 
 

[More to come ...]



Document Actions