Abstract
This paper presents a new collaborative peer-to-peer (P2P) streaming framework for heterogeneous bandwidth capacity of clients. The proposed architecture aims for two primary goals: 1) providing higher streaming quality by making best use of the extra available bandwidth that might exist among heterogeneous clients and 2) providing robustness and resilience to high churn rate of peers by introducing redundancy, both in network paths (multisender overlay) and data (multilayered video content). For achieving these goals, we employ a gossip-based data-driven scheme for partnership formation and layered video coding for bandwidth adaptivity. To solve multilayer bitstream allocation problem, we proposed two algorithms, namely optimized transmission policy and graceful degradation scheme algorithms. The proposed system has a complete self-regulation and in a decentralized fashion. Extensive simulations show that the proposed system achieves higher quality of service through peer-assisted streaming and layered video coding. The results also show that the system outperforms some previous schemes in system overhead and reliability for dynamic node behavior.
Original language | English |
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Pages (from-to) | 233-245 |
Number of pages | 13 |
Journal | IEEE Transactions on Parallel and Distributed Systems |
Volume | 20 |
Issue number | 2 |
DOIs | |
Publication status | Published - 1 Jan 2009 |
Keywords
- layered video coding
- live media streaming
- multimedia communication
- Overlay network
- quality of service
ASJC Scopus subject areas
- Signal Processing
- Hardware and Architecture
- Computational Theory and Mathematics