This chapter first provides an outline of the current results in the domains of: (1) QoS/QoE CaM for real-time multimedia services that is supported by SDN, and (2) Big Data analytics and methods that are used for QoS/QoE CaM. Then, three specific use case scenarios with respect to video streaming services are presented, so as to illustrate the expected benefits of incorporating Big Data analytics into SDN-based CaM for the purposes of improving or optimizing QoS/QoE. In the end, we describe our vision and a high-level view of an SDN-based architecture for QoS/QoE CaM that is enriched with Big Data analytics' functional blocks and summarize corresponding challenges.

Chapter Contents:

• 21.1 Introduction
• 21.2 Classification of SDN-based context-aware networking approaches
• 21.2.1 Monitoring of QoE influence factors (QoE-IFs)
• 21.2.2 Control actions of management approaches
• 21.2.3 Potential of Big Data for SDN QoE management
• 21.3 Big Data analytics to support QoS/QoE management
• 21.3.1 Big Data analytics
• 21.3.2 Current and ongoing work
• 21.4 Combining Big Data analytics and SDN: three use cases to improve QoS/QoE
• 21.4.1 Use case 1: improving the operation of networks
• 21.4.2 Use case 2: improving the quality of video-on-demand streaming based on business agreements
• 21.4.3 Use case 3: improving the quality of applications without business agreements
• 21.5 Vision: intelligent network-wide auto-optimization
• 21.6 Challenges and discussions
• 21.6.1 Challenges of SDN-based QoE management
• 21.6.2 Challenges of a Big Data-supported SDN architecture for enhancing application quality
• 21.7 Conclusion
• Acknowledgments
• References

Inspec keywords: video streaming; Big Data; software defined networking; quality of service; quality of experience

Other keywords: video streaming services; QoS-QoE CaM; Big Data analytics; SDN; network control and management; quality of service; real-time multimedia services

Subjects: Data handling techniques; Computer communications; Multimedia communications; Computer networks and techniques