Improving Video Quality in Crowded Networks Using a DANE

Kleinrouweler, Jan Willem; Meixner, Britta; César, Pablo

doi:10.1145/3083165.3083167

Cited by 21 publications

(12 citation statements)

References 17 publications

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“…In MPEG-DASH SAND, we find the coupling of network assistance with coordination from the client. In fact, the network has a general view and can provide bandwidth reservation at routers, clients are in charge of the final decision and can receive recommendations [21] [22] [23].…”

Section: Related Workmentioning

confidence: 99%

On accounting for screen resolution in adaptive video streaming: QoE‐driven bandwidth sharing framework

2020

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Screen resolution along with network conditions are main objective factors impacting the user experience, in particular for video streaming applications. User terminals on their side feature more and more advanced characteristics resulting in different network requirements for good visual experience. Previous studies tried to link MOS (Mean Opinion Score) to video bitrate for different screen types (e.g., Common Intermediate Format (CIF), Quarter Common Intermediate Format (QCIF), and High Definition (HD)). We leverage such studies and formulate a QoE driven resource allocation problem to pinpoint the optimal bandwidth allocation that maximizes the QoE (Quality of Experience) over all users of a network service provider located behind the same bottleneck link, while accounting for the characteristics of the screens they use for video playout. For our optimization problem, QoE functions are built using curve fitting on datasets capturing the relationship between MOS, screen characteristics, and bandwidth requirements. We propose a simple heuristic based on Lagrangian relaxation and KKT (Karush Kuhn Tucker) conditions to efficiently solve the optimization problem. Our numerical simulations show that the proposed heuristic is able to increase overall QoE up to 20% compared to an allocation with a TCP look-alike strategy implementing max-min fairness.

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Section: Related Workmentioning

confidence: 99%

On accounting for screen resolution in adaptive video streaming: QoE‐driven bandwidth sharing framework

2020

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“…In extensive evaluations in a Wi-Fi testbed it was demonstrated that our DANE outperforms state-of-the-art DASH adaptation algorithms [7,8]. The performance of DANEs in large networks (up to 600 players) was investigated in [12].…”

Section: Status and Outlookmentioning

confidence: 99%

Enhancing Over-the-Top Video Streaming Quality with DASH Assisting Network Elements

Kleinrouweler

2017

Adjunct Publication of the 2017 ACM International Conference on Interactive Experiences for TV and Online Video

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Dynamic Adaptive Streaming over HTTP (DASH) is the leading technology for delivering online video streaming content. However, DASH has performance problems on shared network links. This thesis investigates how DASH Assisting Network Elements (DANEs) can be used to optimize bottleneck links for DASH video traffic, with the goal to improve the viewers' Quality of Experience. DANEs are aware of active DASH players and divide the network bandwidth among the players and other traffic. In the first three years of the PhD, contributions have been made in the areas of multimedia systems and performance modeling: Two prototype implementations of DANEs have been developed and evaluated in both wired and Wi-Fi networks. Experiments with real DASH players show that DANEs significantly increase the video bitrate and reduce the number of changes in video quality. In addition, Markov models have been created to find out how network bandwidth should be divided, and what the effect of bandwidth sharing policies is on the resulting streaming performance. The model was thoroughly evaluated and has shown to be highly accurate. As such, it is a useful tool that can be used to configure and optimize bandwidth sharing in DANEs. In the remaining year of the PhD program, I would like to expand DANE technology and apply it to different use cases such as mobile networks.

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“…In a crowded network our DANE effectively eliminates freezes, increases video bitrate, reduces quality switches, and establishes fairness (as in bitrate). In [22], the scalability of the out-of-band DANE is enhanced. To be able to cope with a large number of frequently starting and stopping DASH players, the transactions between DANE and DASH players, as well as between DANE and network switch are reduced.…”

Section: Dash Assisting Network Elementmentioning

confidence: 99%

“…[16,18,20,22]) and journals (i.e [17,19,21]). A timeline overview of the contributions with corresponding papers is given in Figure 2.…”

Section: Status and Outlookmentioning

confidence: 99%

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Using DASH Assisting Network Elements for Optimizing Video Streaming Quality

Kleinrouweler

2017

Proceedings of the 25th ACM International Conference on Multimedia

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On-demand video streaming is a popular application which accounts for a large share of today's Internet traffic. Dynamic Adaptive Streaming over HTTP (DASH) is the major streaming technology used by large content providers. However, this technology suffers from performance problems when multiple clients are streaming on shared network links. Aiming at improving the viewers' Quality of Experience, this thesis studies how DASH Assisting Network Elements (DANEs) optimize bottleneck network links and improve DASH streaming performance. The DANE is aware of DASH traffic on the network link, and partitions available network resources between DASH players and other traffic. Two DANE prototypes have been proposed as part of this thesis. In experiments with DASH players in wired and wireless networks, it is shown that the DANEs increase video bitrate, reduce quality switches, and improve fairness between players. Additionally, Markov models have been developed to explore sharing policies for DANEs. The models are used to determine the effect of those policies on streaming performance and to optimize network resource sharing for DASH players. Thorough validations with real DASH players show that the Markov models are highly accurate. In the remaining last year of the PhD program, I will apply DANE technology to cellular (5G) networks and use the Markov models to obtain an optimal sharing strategy.

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Improving Video Quality in Crowded Networks Using a DANE

Cited by 21 publications

References 17 publications

On accounting for screen resolution in adaptive video streaming: QoE‐driven bandwidth sharing framework

On accounting for screen resolution in adaptive video streaming: QoE‐driven bandwidth sharing framework

Enhancing Over-the-Top Video Streaming Quality with DASH Assisting Network Elements

Using DASH Assisting Network Elements for Optimizing Video Streaming Quality

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