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논문검색

Taxation-based Neighbor Selection for Layered Peer-to-Peer Streaming

초록

영어

Peer-to-Peer (P2P) streaming is being considered as the most promising approach to deliver real-time video to large scale users over the Internet. Neighbor selection is one of the key components to construct overlay topology for P2P streaming systems. Currently the majority of QoS-aware neighbor selection approaches assume that the allocated bandwidth resources to individual peers are proportional to their incoming bandwidth rather than their outgoing bandwidth and don’t suit for bandwidth resource scarce environments. In this paper, we incorporate taxation-based incentive mechanism into QoS aware neighbor selection method to computer the allocated number of neighbors of peers. The main contribution of this paper is: i) we incorporate linear taxation-model into SVC-based layered media delivery to determined the connection number of peers and propose a distributed bandwidth resource allocation policy; ii) when selecting neighbors, it considers existing peers’ uplink capacity and source to peer’s delay as a whole to handle long cumulate delay caused by bandwidth aggregation in mesh-based system. Simulation results demonstrate that under resource constraint scene, our proposed method can receive good performance compared with fixed random neighbor selection method and QoS-aware method based on bandwidth-latency ratio on the metric of the chunk loss rate, the average delivery delay, control overhead and PSNR.

목차

Abstract
 1. Introduction
 2. Related Works
 3. The Contribution and QoS-aware Neighbor Selection Approach
  3.1. System model and Assumptions
  3.2. Taxation-based Bandwidth Distribution Policies
  3.3. A Distributed Neighbor Selection Algorithm
  3.4. Local Preemption Policy
 4. Performance Evaluations
  4.1. Simulation Setup
  4.2. Performance Metrics
  4.3. Simulation Results
 5. Conclusion and Future Works
 Acknowledgements
 References

저자정보

  • Hongyun Yang Computer School, Wuhan University, Hubei, 430079, China, National Engineering Research Center for E-Learning, Central China Normal University, Hubei, 430072, China
  • Ruimin Hu 1Computer School, Wuhan University, Hubei, 430079, China, National Engineering Research Center for Multimedia Software, Wuhan University, Hubei, 430079, China

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