Differenciated bandwidth allocation in P2P layered streaming

Bradai, Abbas; Ahmed, Toufik

doi:10.1109/camad.2012.6335308

Cited by 2 publications

(3 citation statements)

References 15 publications

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“…This paper extends our previous work [12] in many ways. It provides a more detailed description of the problem at hand and our solution approach including a mathematical analysis.…”

Section: Contributionssupporting

confidence: 78%

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Efficient content delivery scheme for layered video streaming in large-scale networks

Bradai

Ahmed

Boutaba

et al. 2014

Journal of Network and Computer Applications

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Providing efficient layered video streaming to heterogeneous users in varying network conditions requires dynamic bandwidth allocation, efficient data scheduling and incentives. In layered streaming, the video stream is composed of hierarchically encoded sub-stream layers namely the base layer and enhancements layers. We consider a scenario where receiver peers use a pull-based approach to adjust the video quality level to their terminal and network capacities by subscribing to a different number of layers. In this context, in order to take advantage of the available bandwidth in the network and to enhance end users Quality-of-Experience (QoE), we propose a novel approach that efficiently allocates sender peers' upload bandwidth to receiver peers. The upstream peer bandwidth is allocated depending on the quality level (requested layers) of the receiver peers, starting by allocating bandwidth for the lower layers first. In order to allocate bandwidth for a certain layer, an auction game is established to distribute the bandwidth among the receiver peers, where the sender peers "sell" their items (upload bandwidth) according to bids submitted by receiver peers. The main goal of this approach is to favor high priority peers while ensuring a minimum quality level to all peers. The proposed bandwidth allocation mechanism is paired with efficient scheduling mechanism for layered streaming. It aims to fully take advantage of the allocated bandwidth while respecting the layers dependency of the stream and the data blocks playback deadline. Extensive evaluations are conducted to compare our proposed algorithm with other bandwidth allocation strategies for layered video streaming. The obtained results show the effectiveness of our model in terms of Video quality, useless chunks ratio and bandwidth utilization under different network/streaming conditions.

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“…This paper extends our previous work [12] in many ways. It provides a more detailed description of the problem at hand and our solution approach including a mathematical analysis.…”

Section: Contributionssupporting

confidence: 78%

“…Authors in [12][11] [14] studied the impact of peers' upload bandwidth and established conditions for universal streaming for churnless systems. Furthermore, measurement studies and implementations [16] [17] confirmed that bandwidth has a big impact on streaming quality for P2P streaming systems.…”

Section: Related Workmentioning

confidence: 99%

Efficient content delivery scheme for layered video streaming in large-scale networks

Bradai

Ahmed

Boutaba

et al. 2014

Journal of Network and Computer Applications

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“…In this case, the correct decision regarding the selection and the scheduling of the layers is crucial: how many layers to request, in which order and from which peer? In [4], we proposed amplitude and frequency reduction ( Figure 1) to ensure the smooth quality of the stream and bandwidth allocation schemes for layered streaming systems for P2P networks in [3]. The amplitude reduction mechanism aims to reduce the transition from the higher layer to very lower layer (amplitude reduction) and vice versa.…”

Section: Introductionmentioning

confidence: 99%

QoE assessment for SVC live distribution and adaptation: ENVISION case study

Bradai

Ahmed

Medjiah

2013

2013 IEEE 20th International Conference on Electronics, Circuits, and Systems (ICECS)

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Scalable video coding has drawn great interest in content delivery in many multimedia services thanks to its capability to handle terminal heterogeneity and network conditions variation. In our previous work, and under the umbrella of ENVISION, we have proposed a playout smoothing mechanism to ensure the uniform delivery of the layered stream, by reducing the quality changes that the stream undergoes when adapting to changing network conditions. In this paper we study the resulting video quality, from the final user perception under different network conditions of loss and delays. For that we have adopted the Double Stimulus Impairment Scale (DSIS) method. The results show that the Mean Opinion Score for the smoothed video clips was higher under different network configuration. This confirms the effectiveness of the proposed smoothing mechanism.

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Differenciated bandwidth allocation in P2P layered streaming

Cited by 2 publications

References 15 publications

Efficient content delivery scheme for layered video streaming in large-scale networks

Efficient content delivery scheme for layered video streaming in large-scale networks

QoE assessment for SVC live distribution and adaptation: ENVISION case study

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