Shaping HTTP adaptive streams for a better user experience

Houdaille, Rémi; Gouache, Stéphane

doi:10.1145/2155555.2155557

Cited by 128 publications

(125 citation statements)

References 6 publications

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“…Houdaille and Gouache [19] propose a bandwidth manager located in home gateway that allocates a fair share of network resources to each HAS session. The NCT manager monitors the available network bandwidth and then performs traffic shaping for HAS clients, which reduces the number of media content adaptations at the application level.…”

Section: App-net Mechanisms For Improving Qoementioning

confidence: 99%

Quantitative comparison of application–network interaction: a case study of adaptive video streaming

2017

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Managing quality of experience (QoE) is now widely accepted as a critical objective for multimedia applications and the supporting communication systems. In general, QoE management encompasses: (1) monitoring of the key influence factors and QoE indicators, and (2) deciding on the appropriate control actions as specified by the management goal. Many multimedia applications, e.g., video streaming and audio conferencing, are able to adjust their operational parameters so as to react to variations in the network performance. However, such an adaptation feature is mostly based on a local client view of the network conditions, which may lead to an unfair allocation of network resources among heterogeneous clients and, thus, an unfair QoE distribution. In order to tackle this issue, there is the call for a cooperation between the applications and the underlying network, which includes applicationnetwork interaction (App-Net) in terms of: (1) exchanging information on the monitored QoE indicators, and (2) coordinating the QoE control actions. Various App-Net mechanisms focusing on specific use cases and applications have been proposed to date. This paper gives an overview of App-Net mechanisms and proposes a generic App-Net model that provides the means to realize a coordinated QoE-centric management. Based on the App-Net model, we develop an evaluation methodology to compare three App-Net mechanisms for managing QoE of HTTP adaptive streaming (HAS) against a baseline HAS service. The aim of this quantitative comparison is to explore the trade-offs between QoE gains and the complexity of App-Net implementation, with respect to the number of monitoring and control messages, achieved video quality, and QoE fairness among heterogeneous clients. Our ultimate goal is to set up reproducible experiments that facilitate a holistic evaluation of different App-Net mechanisms.

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Section: App-net Mechanisms For Improving Qoementioning

confidence: 99%

Quantitative comparison of application–network interaction: a case study of adaptive video streaming

2017

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“…A solution for the latter issue is introduced in [3] by enabling randomising segment quality request time. In [6], Houdaille and Gouache investigate the impact of shaping HTTP traffic in a home gateway setting when two clients share an ADSL link using MSS and Apple's HLS client. The authors show that shaping results in reducing the number of quality changes and oscillations for both MSS and HLS.…”

Section: Background and Related Workmentioning

confidence: 99%

Delivery of adaptive bit rate video: balancing fairness, efficiency and quality

Quinlan

Zahran

Ramakrishnan

et al. 2015

The 21st IEEE International Workshop on Local and Metropolitan Area Networks

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“…However, these algorithms only look at an individual client without further considering other DASH clients competing for resources in the same network. Authors in [15] and [16] propose schemes to improve the experience of multiple DASH clients sharing the same network resources. These schemes, however, do not take video contents of individual clients into account.…”

Section: Related Workmentioning

confidence: 99%

Energy-efficient and QoE-driven adaptive HTTP streaming over LTE

Khan

Schroeder

Essaili

et al. 2014

2014 IEEE Wireless Communications and Networking Conference (WCNC)

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Abstract-LTE networks offer broadband wireless access to mobile users who can benefit from high data rate applications such as video streaming. In order to improve the user satisfaction, Quality-of-Experience (QoE) based resource allocation for multiple streaming users in an LTE cell has been studied. However, the high energy consumption of these applications has not been considered. In this paper, we propose adaptive Discontinuous Reception (DRX) parameters for LTE that reduce the energy consumption of mobile devices without degrading the video quality of adaptive HTTP streaming users. Furthermore, we extend the QoE-optimized resource allocation by additionally considering the power consumption of the mobile devices. Simulation results show the benefits of using the proposed adaptive DRX parameters and that further energy saving gains can be achieved by including the power consumption in the optimization problem.

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Shaping HTTP adaptive streams for a better user experience

Cited by 128 publications

References 6 publications

Quantitative comparison of application–network interaction: a case study of adaptive video streaming

Quantitative comparison of application–network interaction: a case study of adaptive video streaming

Delivery of adaptive bit rate video: balancing fairness, efficiency and quality

Energy-efficient and QoE-driven adaptive HTTP streaming over LTE

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