Protocols for Bio-Inspired Resource Discovery and Erasure Coded Replication in P2P Networks

TL;DR

This paper introduces bio-inspired resource discovery and a Q-learning based erasure coding replication scheme for unstructured P2P networks, improving query success, availability, and reducing network traffic.

Contribution

It presents a novel bio-inspired resource discovery method and a Q-learning based erasure coding replication scheme tailored for P2P networks.

Findings

Increased query success rate and resource availability.

Reduced network traffic due to effective resource distribution.

Significant performance improvements demonstrated through simulations.

Abstract

Efficient resource discovery and availability improvement are very important issues in unstructured P2P networks. In this paper, a bio-inspired resource discovery scheme inspired by the principle of elephants migration is proposed. A replication scheme based on Q-learning and erasure codes is also introduced. Simulation results show that the proposed schemes significantly increases query success rate and availability, and reduces the network traffic as the resources are effectively distributed to well-performing nodes.