Heterogeneous Multiuser QoE Enhancement Over DASH in SDN Networks
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Heterogeneous Multiuser QoE Enhancement Over DASH in SDN Networks Tasnim Abar1 · Asma Ben Letaifa2 · Sadok El Asmi1
© Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Among metrics that highly affect video quality and quality of experience (QoE), we can cite the stalling and the visual quality caused by mobile network overhead. Moreover, Dynamic Adaptive Streaming over HTTP (DASH) is widely used for video streaming to adapt the video in the current network conditions and improve the bandwidth utilization. In fact, a good rate adaptation algorithm is a novel technology can easily ameliorate the user perception and the quality of video. Although, several researches innocently estimate bandwidth from a one-sided client perspective, without taking into account other devices in the network. This behavior can trains in inequity and could potentially lower QoE for all clients. In this paper, we propose a novel approach based on Software Defined Network and DASH in order to reduce the stalling events during the video that aims to fairly enhance the QoE of multiple competing clients in a shared network environment. To do this, we first propose architecture to improve the user perception for a single user and in a second point; we generalize the proposed method for all users demanding a video service. The performance evaluation is conducted by using network simulator and the obtained results show that our approach can give significant gain in terms of user satisfaction. Keywords DASH · SDN · Machine learning · Multi-user · QoE
1 Introduction To get an idea of the network quality, the majority of stakeholders (network operators, service providers) rely on Quality of Service (QoS). Although this measure has shown today limitations and a lot of efforts have been made to put in place a new metric that more
* Tasnim Abar [email protected] Asma Ben Letaifa [email protected] Sadok El Asmi [email protected] 1
Cosim Research Labs, Sup’Com, Carthage University, Tunis, Tunisia
2
Mediatron Research Labs, Sup’Com, Carthage University, Tunis, Tunisia
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accurately reflects the service quality offered. This measurement is called the QoE [1]. It reflects the user’s satisfaction with the service he uses [2]. Today, assessing the QoE has become paramount for service providers and content providers. This need has driven us to innovate and devise new methods for estimating and enhancing QoE. The QoE shows in other words the level of video quality depending on user profile. So, improving the quality of video that is to say improving the QoE and conversely [2, 3]. In this work, we will be interested in QoE for multimedia service. In fact, the popularity of multimedia services is huge and wide. It is supported by the exponential growth in consumption and adoption of Internet multimedia services. The QoE depends on different video elements such as the content, the motion, subtitled or not... and the user (i.e. age, sex, profile...) [4] that directly or indire
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