Real-time monitoring of multicast group information

Achmad Basuki, Achmad Husni Thamrin, Hitoshi Asaeda, Jun Murai

研究成果: Article査読

抄録

This paper presents a method to monitor information of a large-sized multicast group that can follow the group's dynamics in realtime while avoiding feedback implosion by using probabilistic polling. In particular, this paper improves the probabilistic-polling-based approach by deriving a reference mean value as the reference control value for the number of expected feedback from the properties of a binomial estimation model. As a result, our method adaptively changes its estimation parameters depending on the feedback from receivers in order to achieve a fast estimate time with high accuracy, while preventing the possible occurrence of feedback implosion. Our experimental implementation and evaluation on PlanetLab showed that the proposed method effectively controls the number of feedback and accurately estimates the size of a dynamic multicast group.

本文言語English
ページ(範囲)2213-2222
ページ数10
ジャーナルIEICE Transactions on Information and Systems
E93-D
8
DOI
出版ステータスPublished - 2010 8月

ASJC Scopus subject areas

  • ソフトウェア
  • ハードウェアとアーキテクチャ
  • コンピュータ ビジョンおよびパターン認識
  • 電子工学および電気工学
  • 人工知能

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