スガワラ シンジ   Shinji Sugawara   菅原　真司    所属   千葉工業大学  工学部 情報通信システム工学科    千葉工業大学  工学研究科 工学専攻    千葉工業大学  工学研究科 情報通信システム工学専攻    職種   教授
言語種別	英語
発行・発表の年月	2022
形態種別	学術雑誌
査読	査読あり
標題	Efficient In-advance Shared Content Deployment Method Using Popularity Prediction in Hybrid Peer-to-Peer Network with Cloud Storage
執筆形態	共著
掲載誌名	ITE Transaction on MTA
掲載区分	国内
出版社・発行元	ITE
巻・号・頁	10(4),pp.225-233
総ページ数	9
担当区分	最終著者
著者・共著者	Kazumasa Takahashi, Shinji Sugawara
概要	In content sharing with Peer-to-Peer (P2P) network systems, content has been smoothly acquired and pre-vented from being lost by replication of the content and deploying replicas on multiple peers. However, in some conventional methods, it takes a long time for the replicas of content to be spread over the network, which makes stable content sharing difficult. In this paper, we propose a method to predict the change in popularity of each content item over time and to deploy an appropriate number of replicas of popular content evenly on the network before the supply becomes insufficient. The method also keeps the ratio of each content replica’s total stored capacity to the whole storage capacity in P2P in proportion to its demand, while considering each replica’s size of capacity. Furthermore, we confirm the effectiveness of the proposed method by computer simulations.