Big Data Helps SDN to Improve Application Specific Quality of Service (CROSBI ID 59673)
Prilog u knjizi | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Schwarzmann, Susanna ; Blenk, Andreas ; Dobrijević, Ognjen ; Jarschel, Michael ; Hotho, Andreas ; Zinner, Thomas ; Wamser, Florian
engleski
Big Data Helps SDN to Improve Application Specific Quality of Service
This chapter first provides an outline of the current results in the domains of: (a) quality-of-service (QoS) / quality-of-experience (QoE) control and management (CaM) for real-time multimedia services that is supported by software-defined networking (SDN), and (b) 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.
Big data, software-defined networking, real-time multimedia services, quality of service, quality of experience, network control, network management, big data analytics, machine learning
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Podaci o prilogu
433-455.
objavljeno
10.1049/PBPC015E_ch21
Podaci o knjizi
Big Data and Software Defined Networks
Taheri, Javid
London : Delhi: The Institution of Engineering and Technology
2018.
978-1-78561-304-3