Big Data helps SDN to manage traffic

Big Data helps SDN to manage traffic

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Traffic management plays a crucial role in achieving high-performance networking with optimal resource utilization. However, efficient and effective traffic management could be very challenging in large-scale dynamic networking environments. Software-defined networking (SDN) together with Big Data analytics offers a promising approach to addressing this challenging problem. We first provide an overview of the general process of network traffic management, in both conventional Internet Protocol (IP)-based networks and the emerging SDN networks. Then, we present an architectural framework of Big Data-based traffic management in SDN. We discuss some possible Big Data analytics applications for data analysis and decision-making in SDN for traffic management. We also identify some open issues and challenges that must be addressed for applying Big Data analytics techniques in SDN traffic management, which offer possible topics for future research and technology development.

Chapter Contents:

  • Abstract
  • 18.1 Introduction
  • 18.2 State of art of traffic management in IP and SDN networks
  • 18.2.1 General concept and procedure of network traffic management
  • 18.2.2 Traffic management in IP networks
  • Data collection for network measurement
  • Data analysis and decision-making for traffic routing
  • Traffic control
  • 18.2.3 Traffic management in SDN networks
  • Data collection for network measurement
  • Data analysis and decision-making for traffic routing
  • Traffic control
  • 18.3 Potential benefits for traffic management in SDN using Big Data techniques
  • 18.3.1 Big Data in SDN networks
  • Bigger volume of network state data
  • Higher velocity of network state changes
  • Broader variety of network state data
  • 18.3.2 How Big Data analytics could help SDN networks
  • 18.4 A framework for Big Data-based SDN traffic management
  • 18.5 Possible Big Data applications for SDN traffic analysis and control
  • 18.5.1 Big graph data analysis for SDN traffic analysis and long-term network topology improvement
  • 18.5.2 Streaming-based Big Data analysis for real-time SDN traffic analysis and adaptation
  • 18.5.3 Big Data mining for SDN network control and adaptation
  • 18.6 Open issues and challenges
  • 18.6.1 Data acquisition measurement and overhead
  • 18.6.2 SDN controller management
  • 18.6.3 New system architecture for Big Data-based traffic management in SDN
  • 18.7 Conclusion
  • References

Inspec keywords: software defined networking; Big Data; telecommunication traffic; IP networks; computer network management

Other keywords: optimal resource utilization; software-defined networking; high-performance networking; Big Data analytics techniques; architectural framework; large-scale dynamic networking environments; Internet protocol-based networks; decision-making; SDN network traffic management

Subjects: Data handling techniques; Network management; Computer networks and techniques; Computer communications

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