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To balance the load and to discourage the free-riding in peer-to-peer (P2P)networks, many incentive mechanisms and policies have been proposed in recentyears. Global peer ranking is one such mechanism. In this mechanism, peers areranked based on a metric called contribution index. Contribution index isdefined in such a manner that peers are motivated to share the resources in thenetwork. Fairness in the terms of upload to download ratio in each peer can beachieved by this method. However, calculation of contribution index is nottrivial. It is computed distributively and iteratively in the entire networkand requires strict clock synchronization among the peers. A very small errorin clock synchronization may lead to wrong results. Furthermore, iterativecalculation requires a lot of message overhead and storage capacity, whichmakes its implementation more complex. In this paper, we are proposing a simpleincentive mechanism based on the contributions of peers, which can balance theupload and download amount of resources in each peer. It does not requireiterative calculation, therefore, can be implemented with lesser messageoverhead and storage capacity without requiring strict clock synchronization.This approach is efficient as there are very less rejections among thecooperative peers. It can be implemented in a truly distributed fashion with$O(N)$ time complexity per peer.

Simplified Biased Contribution Index (SBCI): A Mechanism to Make P2P Network Fair and Efficient for Resource Sharing