01841nas a2200205   4500008004100000245008900041210006900130260000900199300001400208490000600222520116600228653002101394653001701415653001601432100001801448700001701466700001801483700001701501856011701518       2010                        eng d00aFile replication method based on demand forecasting of file download in P2P networks0 aFile replication method based on demand forecasting of file down  c2010  a247 - 2530 v83 aIn peer-to-peer (P2P) networks that support file-sharing services, the level of access demand can vary widely between different files. Since fewer nodes store files for which there is a lower demand, these files are more likely to be lost from the P2P networks if users leave the network or delete the files. File loss can cause users to seek alternatives to P2P services, and lead to degradation in service quality. We propose and evaluate a replication method based on demand forecasting that aims to prevent the loss of low-demand files. In this method, the number of file replicas to be placed is determined based on the forecast demand for the file, so that the loss of low-demand files is likely prevented by placing replicas at nodes that frequently use P2P services. Based on simulation results, we compared our proposed method with basic replication methods in terms of the number of files and the amount of storage used. Our experimental results show that the proposed method prevents file loss by preserving lowdemand files over extended periods of time. We also confirmed that the node storage resources consumed by this method are efficiently used.10aP2P file sharing10aP2P networks10aReplication1 aKobayashi, M.1 aKageyama, J.1 aShibusawa, S.1 aYonekura, T.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-79960687658&partnerID=40&md5=3db4c30b2db7743416ab3f4cb69524b3