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

BitTorrent performance

Analyzing and Improving a BitTorrent Network’s 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)