Tribler/BitTorrent vs. topology/graph/modeling research
Tribler is build on advances in many areas of research.
One of the more complicated and least understood areas is that
of graph theory. We believe a better understanding of the
graphs inside Tribler could be exploited and lead
to superior performance.
The graphs inside Tribler are present at various levels.
The trust between people, the similarity of taste between
people, the Internet connectivity fabric between people, etc.
Tribler journal paper
Correlating Topology and Path Characteristics of Overlay Networks and the Internet
The BitTorrent P2P File-sharing system: Measurements and Analysis
Analyzing and Improving a BitTorrent Networkâs Performance Mechanisms
Modeling and Performance Analysis of BitTorrent-Like Peer-to-Peer Networks
Survey on Analytical Modeling of File-Sharing Systems
Incentives Build Robustness in BitTorrent (original BT paper on its piece selection and tit-for-tat exchange)
Do Incentives Build Robustness in BitTorrent? (Paper on importance of preventing freeriding)
Inferring Binary Trust Relationships in Web-Based Social Networks
Video On Demand / Streaming
BiToS: Enhancing BitTorrent for Supporting Streaming Applications
Providing Video-on-Demand using Peer-to-Peer Networks
Understanding Mesh-based Peer-to-Peer Streaming
Paper on TriblerStreaming (originally called Orchard)