Biased Contribution Index: A Simpler Mechanism to Maintain Fairness in Peer to Peer Network

TL;DR

This paper introduces a simple, distributed mechanism called Biased Contribution Index to promote fairness in peer-to-peer networks by incentivizing resource sharing and reducing free riding, with faster convergence than existing methods.

Contribution

It presents a novel, easy-to-implement biased contribution index mechanism that effectively maintains fairness and discourages free riders in peer-to-peer networks.

Findings

Mechanism suppresses free riders effectively.

Converges faster than existing approaches.

Balances download and upload resources efficiently.

Abstract

To maintain fairness, in the terms of resources shared by an individual peer, a proper incentive policy is required in a peer to peer network. This letter proposes, a simpler mechanism to rank the peers based on their resource contributions to the network. This mechanism will suppress the free riders from downloading the resources from the network. Contributions of the peers are biased in such a way that it can balance the download and upload amount of resources at each peer. This mechanism can be implemented in a distributed system and it converges much faster than the other existing approaches.