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 schwarzmann2018bigdata
%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 IET
%K big data from:hotho myown network quality sdn service
%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{schwarzmann2018bigdata,
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 = {2018-07-04T20:19:57.000+0200},
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/dmir},
booktitle = {Big Data and Software Defined Networks},
interhash = {65e7e8b164649d9504e2cd6980725c48},
intrahash = {dc6f4636d1f670d748a8a586b4b98c0e},
keywords = {big data from:hotho myown network quality sdn service},
publisher = {IET},
timestamp = {2024-01-18T10:31:52.000+0100},
title = {Big-Data Helps SDN to Improve Application Specific Quality of Service},
year = 2018
}