Reputation-Driven Peer-to-Peer Live Streaming Architecture for Preventing Free-Riding

We present the design of an architecture for a peer-to-peer (P2P) live streaming system integrated with a reputation mechanism. The proposed system aims to address the challenges posed by free riders and malicious peers in P2P networks. By incorporating a reputation system, the architecture incentivizes active participation and discourages opportunistic behaviors, fostering a more collaborative and sustainable streaming environment. The design outlines key structural components, including peer roles, content sharing protocols, and reputation assessment mechanisms. The algorithm also tackles issues such as churn, and flash crowds through adaptive strategies and a request-to-join mechanism that forms a hybrid mesh or interconnected tree structure. This approach not only enhances the overall performance and reliability of the P2P live streaming system but also promotes its long-term sustainability by aligning individual peer incentives with the collective goals of the network.

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Publication Details

Published
2024-11-27
DOI
https://doi.org/10.1109/itnac62915.2024.10815410
Citations
1
Primary Topic
Sharing Economy and Platforms
Type
article
Field-Weighted Citation Impact
0.44
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article

Reputation-Driven Peer-to-Peer Live Streaming Architecture for Preventing Free-Riding

Rahul Bhattacharyya, Yatindra Nath Singh, Rashmi Kushwaha
1 citations
Sharing Economy and Platforms
0.44
article

Reputation-Driven Peer-to-Peer Live Streaming Architecture for Preventing Free-Riding

Rahul Bhattacharyya, Yatindra Nath Singh, Rashmi Kushwaha
article en
1 citations

Abstract

We present the design of an architecture for a peer-to-peer (P2P) live streaming system integrated with a reputation mechanism. The proposed system aims to address the challenges posed by free riders and malicious peers in P2P networks. By incorporating a reputation system, the architecture incentivizes active participation and discourages opportunistic behaviors, fostering a more collaborative and sustainable streaming environment. The design outlines key structural components, including peer roles, content sharing protocols, and reputation assessment mechanisms. The algorithm also tackles issues such as churn, and flash crowds through adaptive strategies and a request-to-join mechanism that forms a hybrid mesh or interconnected tree structure. This approach not only enhances the overall performance and reliability of the P2P live streaming system but also promotes its long-term sustainability by aligning individual peer incentives with the collective goals of the network.

Indian Institute of Technology Kanpur (IN)
Openalex Percentile: Top 24%
Sharing Economy and Platforms
0.44
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