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As ISPs begin to cooperate to expose their network locality information asservices, e.g., P4P, solutions based on locality information provision for P2Ptraffic localization will soon approach their capability limits. A naturalquestion is: can we do any better provided that no further locality informationimprovement can be made? This paper shows how the utility of localityinformation could be limited by conventional P2P data scheduling algorithms,even as sophisticated as the local rarest first policy.  Network coding's simplified data scheduling makes it competent for improvingP2P application's throughput. Instead of only using locality information in thetopology construction, this paper proposes the locality-aware network coding(LANC) that uses locality information in both the topology construction anddownloading decision, and demonstrates its exceptional ability for P2P trafficlocalization. The randomization introduced by network coding enhances thechance for a peer to find innovative blocks in its neighborhood. Aided byproper locality-awareness, the probability for a peer to get innovative blocksfrom its proximity will increase as well, resulting in more efficient use ofnetwork resources. Extensive simulation results show that LANC cansignificantly reduce P2P traffic redundancy without sacrificingapplication-level performance. Aided by the same locality knowledge, thetraffic redundancies of LANC in most cases are less than 50\% of the currentbest approach that does not use network coding.

LANC: locality-aware network coding for better P2P traffic localization