Key research themes
1. How can hybrid broadcasting protocols optimize bandwidth and waiting time in Video-on-Demand (VoD) services?
This research area focuses on the development of broadcasting protocols that reduce the bandwidth requirements for delivering popular video content simultaneously to multiple viewers, while minimizing user waiting time. It addresses the trade-offs between the number of data streams managed by the server and the total bandwidth consumed, as well as challenges related to client storage and implementation complexity. The role of hybrid protocols that combine benefits of low-bandwidth segmented streams with high-bandwidth shared streams is emphasized as a means to enhance system scalability and cost-effectiveness.
2. How does peer-to-peer (P2P) assistance improve scalability, traffic distribution, and user experience in Video-on-Demand systems?
This theme explores peer-assisted VoD systems where client devices contribute uplink bandwidth and storage to distribute video content, alleviating server and core network load. It investigates popularity-based content distribution schemes on peers, the challenges of peers' reliability, as well as caching strategies to maximize content availability and reduce network traffic. The theme highlights how P2P improves system scalability, adaptability to heterogeneous user access, and reduces costs in telecom-managed IPTV environments.
3. How can scalable video coding (SVC) and adaptive streaming optimize video quality, network resource usage, and quality of experience in IPTV and HTTP adaptive streaming services?
This theme covers scalable video coding techniques such as the H.264/SVC extension and HTTP Adaptive Streaming (HAS) protocols that dynamically adapt video bitrates, spatial and temporal resolutions, or encoding layers in response to changing network conditions and heterogeneous client devices. It investigates methods to gracefully degrade video quality under constraints, optimize bit allocation for scalable streams, and implement traffic shaping algorithms to balance server load, improve user QoE, and enhance fairness in resource-constrained IPTV and HTTP streaming environments.