A Study on Improvement of BitTorrent Pieces Acquisition Efficiency by Introducing Collaborative Group of Nearby Peers

• Yusuke Hayashi

  Wakayama University

• Akihiro Fujimoto

  Wakayama University

• Hideki Tode

  Osaka Prefecture University

抄録

The opportunities such that many users in local area holdthe same content to share the same experience are increasing. BitTorrent,a P2P-based file sharing software, is an effective solution for distributinglarge files to a large number of users. However, BitTorrent does not assumefile sharing between nearby users, so download efficiency could drop bycommunicating with distant users frequently. In this paper, we propose a BitTorrent-based group-aware file sharing method, in which nearby peers create a collaborative group to improvethe download efficiency. We modify two major algorithms used in BitTorrentto optimize for the collaborative groups, named “in-group rarity basedpiece selection algorithm” and “group-first choking algorithm.” Simulationresults demonstrate that the proposed method improves the downloadperformance of the collaborative group.

収録刊行物

• IEICE Proceeding Series

  IEICE Proceeding Series 63 E3-1-, 2020-12-02

  The Institute of Electronics, Information and Communication Engineers

キーワード

• BitTorrent
• Piece Selection
• Choking Algorithm
• Locality-Aware
• Collaborative Group

詳細情報

• CRID: 1390006198877188096
• NII論文ID: 230000012373
• DOI: 10.34385/proc.63.e3-1
• ISSN: 21885079
• 本文言語コード: en
• データソース種別:
  • JaLC
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可