LayerP2P: A New Data Scheduling Approach for Layered Streaming in Heterogeneous Networks

Xiao, Xin; Shi, Yuanchun; Gao, Yuan; Zhang, Qian

doi:10.1109/infcom.2009.5061967

Cited by 39 publications

(18 citation statements)

References 24 publications

(32 reference statements)

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“…For instance, [4] studies how to use layered coding to fully utilize the available peer upload bandwidth in a tree-based P2P overlay multicast. [19] proposes a 3-stage chunk scheduling algorithm for mesh-based layered video streaming to achieve high throughput and low video quality jitter. In terms of achieving individual fairness/welfare, Cohen advocated a tit-for-tat algorithm in the seminar paper [20].…”

Section: A Related Workmentioning

confidence: 99%

Peer-to-Peer Streaming of Layered Video: Efficiency, Fairness and Incentive

Guo²,

Liu

2011

IEEE Trans. Circuits Syst. Video Technol.

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Abstract-Recent advance in scalable video coding (SVC) makes it possible for users to receive the same video with different qualities. To adopt SVC in P2P streaming, two key design questions need to be answered: 1) layer subscription: how many layers each peer should receive? 2) layer scheduling: how to deliver to peers the layers they subscribed? From the system point of view, the most efficient solution is to maximize the aggregate video quality on all peers, i.e., the social welfare. From individual peer point of view, the solution should be fair. Fairness in P2P streaming should additionally take into account peer contributions to make the solution incentive-compatible. In this paper, we first develop utility maximization models to understand the interplay between efficiency, fairness and incentive in layered P2P streaming. We show that taxation mechanisms can be devised to strike the right balance between social welfare and individual peer welfare. We then develop practical taxation-based P2P layered streaming designs, including layer subscription strategy, chunk scheduling policy, and mesh topology adaptation. Extensive trace-driven simulations show that the proposed designs can effectively drive layered P2P streaming systems to converge to the desired operating points in a distributed fashion.

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Section: A Related Workmentioning

confidence: 99%

Peer-to-Peer Streaming of Layered Video: Efficiency, Fairness and Incentive

Guo²,

Liu

2011

IEEE Trans. Circuits Syst. Video Technol.

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“…Layered coding is applied to P2P streaming to improve the social welfare over the traditional single layer P2P streaming [12,21,18]. In terms of achieving individual fairness/welfare, Cohen advocated a tit-for-tat algorithm in the seminar paper [4].…”

Section: Related Workmentioning

confidence: 99%

Mesh-based peer-to-peer layered video streaming with taxation

Guo

Liu

2010

Proceedings of the 20th International Workshop on Network and Operating Systems Support for Digital Audio and Video

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Recent advance in scalable video coding (SVC) makes it possible for users to receive the same video with different qualities. To adopt SVC in P2P streaming, two key design questions need to be answered: 1) layer subscription: how many layers each peer should receive? 2) layer scheduling: how to deliver to peers the layers they subscribed? From the system point of view, the most efficient solution is to maximize the aggregate video quality on all peers, i.e., the social welfare. From individual peer point of view, the solution should be fair. Fairness in P2P streaming should additionally take into account peer contributions to make the solution incentive-compatible. In this paper, we show that taxation mechanisms can be devised to strike the right balance between social welfare and individual peers' welfare. We develop practical taxationbased P2P layered streaming designs, including layer subscription strategy, chunk scheduling policy, and mesh topology adaptation. Extensive trace-driven simulations show that the proposed designs can effectively drive layered P2P streaming systems to converge to the desired operating points in a distributed fashion.

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“…Different streaming rates in P2P networks have attracted remarkable attention [1,3,8,12,22]. Scalable layered coding has been proposed in [3] to deal with the heterogeneous bandwidth of end users.…”

Section: Related Workmentioning

confidence: 99%

“…Cui et al [1] introduce layered coding into P2P streaming and present a solution to address asynchrony and heterogeneity issues in on-demand media distribution. In [22], Xiao et al present systematical studies on data scheduling issue of layered streaming in heterogeneous P2P networks. Padmanabhan et al [12] utilize multiple description coding to ensure that peers can still display the stream even if they lose some descriptions.…”

Section: Related Workmentioning

confidence: 99%

Diverse community: Demand differentiation in P2P live streaming

Ouyang

Ramamurthy

2010

Peer-to-Peer Netw. Appl.

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Peer-to-Peer (P2P) technology has become an attractive approach for enabling large-scale video streaming applications, but the factor of users' subjective preferences is not paid enough attention in such networks. As users have various demand on video qualities, we can provide them with video streams at different resolutions without impairing their satisfaction. The adaptive streaming rate technique is a promising method. However, in providing adaptive streaming rate services, P2P live streaming design faces the following challenge: how to provide all users with uninterrupted video with their desired qualities in case that their demand dynamically changes? To shed more light on this problem, we first derive a model and formulate the problem as a resource demand vs supply problem. Then we present a framework to address the challenge via efficient bandwidth allocation and group cooperation. Through comprehensive simulations, we evaluate the effectiveness of the proposed framework, and conclude that it effectively helps existing solutions, such as Partial Participation Scheme (PPS), achieve better performance.

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LayerP2P: A New Data Scheduling Approach for Layered Streaming in Heterogeneous Networks

Cited by 39 publications

References 24 publications

Peer-to-Peer Streaming of Layered Video: Efficiency, Fairness and Incentive

Peer-to-Peer Streaming of Layered Video: Efficiency, Fairness and Incentive

Mesh-based peer-to-peer layered video streaming with taxation

Diverse community: Demand differentiation in P2P live streaming

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