3d International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems

Research Article

Bee-inspired data collection methods for P2P streaming systems

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  • @INPROCEEDINGS{10.4108/ICST.BIONETICS2008.4719,
        author={Tomok   Yoshihisa and Tadashi  Nakano and Shun N.  Watanabe and Tatsuya  Suda},
        title={Bee-inspired data collection methods for P2P streaming systems},
        proceedings={3d International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems},
        publisher={ICST},
        proceedings_a={BIONETICS},
        year={2010},
        month={5},
        keywords={Biological inspiration Peer-to-peer streaming Bittorrent},
        doi={10.4108/ICST.BIONETICS2008.4719}
    }
    
  • Tomok Yoshihisa
    Tadashi Nakano
    Shun N. Watanabe
    Tatsuya Suda
    Year: 2010
    Bee-inspired data collection methods for P2P streaming systems
    BIONETICS
    ICST
    DOI: 10.4108/ICST.BIONETICS2008.4719
Tomok Yoshihisa1,*, Tadashi Nakano2,*, Shun N. Watanabe2,*, Tatsuya Suda2,*
  • 1: Osaka University, Ibaraki, Osaka, Japan
  • 2: University of California, Irvine, CA
*Contact email: yoshihisa@osaka-u.ac.jp, tnakano@ics.uci.edu, shunw@ics.uci.edu, suda@ics.uci.edu

Abstract

Recently, P2P (Peer-to-Peer) streaming systems have attracted great attention. In P2P streaming systems, streaming data such as video and audio are divided into a number of small pieces for efficient data distribution. This approach allows peers to collect the pieces from each other while playing the streaming data. Our investigation into ecological systems suggests that the piece collection in P2P streaming systems is similar to the bee's nectar collection and that their nectar collecting behavior can be used as a model in designing piece collection methods for P2P streaming systems. In this paper, we propose data collection methods for P2P streaming systems inspired by bee's nectar collecting behavior. There are several types of bees in the bee ecology, which exhibit different behavior, and accordingly, we propose three different methods inspired by three typical bee types; those are honey, bumble, and carpenter bees. Suitable environments for the three methods may differ and are investigated in this paper.