ReputeStream: Mitigating Free-Riding through Reputation-Based Multi-Layer P2P Live Streaming

TL;DR

ReputeStream introduces a multi-layer P2P live streaming algorithm that uses reputation scores to promote fairness, handle free-riding, and efficiently manage network dynamics like churn and flash crowds.

Contribution

It proposes a novel multi-layer reputation-based algorithm that enhances fairness, efficiency, and robustness in P2P live streaming systems.

Findings

Effective mitigation of free-riding behavior.

Improved network efficiency through strategic peer positioning.

Robustness against churn and flash crowd scenarios.

Abstract

This paper presents a novel algorithm for peer-to-peer (P2P) live streaming that addresses the limitations of single-layer systems through a multi-layered approach. The proposed solution adapts to diverse user capabilities and bandwidth conditions while tackling common P2P challenges such as free-riding, malicious behavior, churn, and flash crowds. By implementing a reputation-based system, the algorithm promotes fair resource sharing and active participation. The algorithm also incorporates a request-to-join mechanism to effectively manage flash crowds. In addition, a dynamic reputation system improves network efficiency by strategically positioning high-reputation peers closer to video sources or other significant contributors.