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

Research Article

Application of Attractor Selection to Adaptive Virtual Network Topology Control

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  • @INPROCEEDINGS{10.4108/ICST.BIONETICS2008.4714,
        author={Yuki Koizumi and Takashi Miyamura and Shin'ichi Arakawa and Eiji Oki and Kohei Shiomoto and Masayuki Murata},
        title={Application of Attractor Selection to Adaptive Virtual Network Topology Control},
        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={Wavelength Division Multiplexing Virtual network topology control Adaptability Attractor Selection},
        doi={10.4108/ICST.BIONETICS2008.4714}
    }
    
  • Yuki Koizumi
    Takashi Miyamura
    Shin'ichi Arakawa
    Eiji Oki
    Kohei Shiomoto
    Masayuki Murata
    Year: 2010
    Application of Attractor Selection to Adaptive Virtual Network Topology Control
    BIONETICS
    ICST
    DOI: 10.4108/ICST.BIONETICS2008.4714
Yuki Koizumi1,*, Takashi Miyamura2,*, Shin'ichi Arakawa1,*, Eiji Oki2,*, Kohei Shiomoto2,*, Masayuki Murata1,*
  • 1: Graduate School of Information Science and Technology, Osaka University 1-5 Yamadaoka, Suita, Osaka 565-0871, Japan
  • 2: NTT Network Service Systems Laboratories 3-9-11 Midori-cho, Musashino, Tokyo 180-8585, Japan
*Contact email: ykoizumi@ist.osaka-u.ac.jp, miyamura.takashi@lab.ntt.co.jp, arakawa@ist.osaka-u.ac.jp, oki@ice.uec.ac.jp, shiomoto.kohei@lab.ntt.co.jp, murata@ist.osaka-u.ac.jp

Abstract

The growth of the Internet and emerging application layer technologies causes numerous changes in network environments. Therefore, it becomes important to achieve adaptive methods of controlling networks in addition to optimizing their performance. To achieve an adaptive network control method, we focus on attractor selection, which models behaviors where biological systems adapt to unknown changes in their surrounding environments and recover their conditions. In this paper, we show the applicability of the attractor selection to the adaptive virtual network topology (VNT) control in IP over wavelength-routed WDM networks. The simulation results indicate that our VNT control method based on attractor selection quickly and adaptively responds to various changes in traffic demand.