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.
%0 Book Section
%1 info3-incollection-2018-2
%A Schwarzmann, Susanna
%A Blenk, Andreas
%A Dobrijevic, Ognjen
%A Jarschel, Michael
%A Hotho, Andreas
%A Zinner, Thomas
%A Wamser, Florian
%B Big Data and Software Defined Networks
%D 2018
%I Institution of Engineering and Technology (IET)
%K myown dfg-sdn ngn
%T Big-Data Helps SDN to Improve Application Specific Quality of Service
%X 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.
@incollection{info3-incollection-2018-2,
abstract = {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.},
added-at = {2018-03-22T20:34:08.000+0100},
author = {Schwarzmann, Susanna and Blenk, Andreas and Dobrijevic, Ognjen and Jarschel, Michael and Hotho, Andreas and Zinner, Thomas and Wamser, Florian},
biburl = {https://www.bibsonomy.org/bibtex/2dc6f4636d1f670d748a8a586b4b98c0e/uniwue_info3},
booktitle = {Big Data and Software Defined Networks},
interhash = {65e7e8b164649d9504e2cd6980725c48},
intrahash = {dc6f4636d1f670d748a8a586b4b98c0e},
keywords = {myown dfg-sdn ngn},
month = {3},
publisher = {Institution of Engineering and Technology (IET)},
timestamp = {2022-03-15T21:50:55.000+0100},
title = {Big-Data Helps SDN to Improve Application Specific Quality of Service},
year = 2018
}