De Bruijn Graph Based Solution for Lookup Acceleration and Optimization in P2P Networks

Abstract

There is no doubt that P2P traffic mainly video traffic (e.g. P2P streaming, P2P file sharing, P2P IPTV) increases and will represent a significant percent of the total IP video traffic (80 percent by 2018 of the global IP traffic according forecasts). Peer-to-peer (P2P) is based on some main concepts such as mutualization of resources (e.g. data, programs, service) at Internet scale. It is also considered as one of the most important models able to replace the client-server model (e.g. for media streaming). Nevertheless, one of the fundamental problems of P2P networks is to locate node emplacements or resources and service location. Localisation problem is critical as there is no central server and churn rate can be high in some environments (high dynamicity). Lookup optimization in terms of number of hops or delay is not well considered in existing models, and still represents a real challenge. In this context and according to their specific characteristics and properties, De Bruijn graph based solutions constitute good candidates for lookup optimization. In this paper, we propose a new optimized model for lookup acceleration on P2P networks based on De Bruijn graph. Performance evaluations and simulation results show that our proposed approach is performant, compared to the main existing model.