Networked virtual environments: design and implementation
Networked virtual environments: design and implementation
VRAIS '97 Proceedings of the 1997 Virtual Reality Annual International Symposium (VRAIS '97)
An analytical model for progressive mesh streaming
Proceedings of the 15th international conference on Multimedia
Network-Based Visualization of 3D Landscapes and City Models
IEEE Computer Graphics and Applications
Adaptive 3D Content for Multi-Platform On-Line Games
CW '07 Proceedings of the 2007 International Conference on Cyberworlds
3D streaming based on multi-LOD models for networked collaborative design
Computers in Industry
Streaming of plants in distributed virtual environments
MM '08 Proceedings of the 16th ACM international conference on Multimedia
The HyperVerse: concepts for a federated and Torrent-based '3D Web'
International Journal of Advanced Media and Communication
Textures in Second Life: Measurement and Analysis
ICPADS '08 Proceedings of the 2008 14th IEEE International Conference on Parallel and Distributed Systems
Selection strategies for peer-to-peer 3D streaming
Proceedings of the 18th International Workshop on Network and Operating Systems Support for Digital Audio and Video
IEEE Internet Computing
Coolstreaming: Design, Theory, and Practice
IEEE Transactions on Multimedia
Bandwidth-aware Peer-to-Peer 3D streaming
International Journal of Advanced Media and Communication
Peer-assisted texture streaming in metaverses
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Hi-index | 0.00 |
Peer-to-Peer streaming support for 3D content (i.e., P2P 3D streaming) has recently been proposed to provide affordable and real-time virtual environment (VE) content delivery. However, the generally limited client upload bandwidth requires maximal bandwidth utilization for effective streaming. This paper proposes Bandwidth-Aware Peer Selection (BAPS), a peer selection strategy that improves the bandwidth utilization for 3D streaming. BAPS avoids request contention and peer overloading as object and user densities increase, thus improving both bandwidth utilization and system scalability. We compare BAPS with strategies that select from only peers within the area of interest (AOI) as data sources and do not consider bandwidth capacity. Our evaluation shows that BAPS achieves better performance in general, and maintains a stable minimal quality of service (QoS) for streaming, which is important for commercial applications.