Adaptive routing point control in virtualized local area networks using particle swarm optimizations

Kensuke Takahashi, Toshio Hirotsu, Toshiharu Sugawara

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    This paper describes methods for controlling routing points of VLAN domains using binary particle swarm optimization (BPSO) and angle modulated particle swarm optimization (AMPSO). Virtual LAN (VLAN) is a technique for virtualizing datalink layer (or L2) and can construct arbitrary logical networks on top of a physical network. However, VLAN often causes much redundant traffic due to inappropriate deployments of network-layer (L3) routing capabilities in VLAN networks. We propose two methods using BPSO and AMPSO, and show that they can adaptively select the routing points dynamically in accordance with the observed traffic patterns and thus reduce the redundant traffic. The convergence features are compared with those of the conventional method on the basis of a statistical method. Then we also show that the scalability of the algorithm using AMPOS is high and thus we can expect that it is applicable to practical large VLAN environments.

    Original languageEnglish
    Title of host publicationProceedings - International Conference on Tools with Artificial Intelligence, ICTAI
    Pages352-360
    Number of pages9
    DOIs
    Publication statusPublished - 2011
    Event23rd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2011 - Boca Raton, FL
    Duration: 2011 Nov 72011 Nov 9

    Other

    Other23rd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2011
    CityBoca Raton, FL
    Period11/11/711/11/9

    Fingerprint

    Local area networks
    Particle swarm optimization (PSO)
    Network layers
    Scalability
    Statistical methods

    Keywords

    • Network management
    • Particle swarm optimization
    • Routing
    • Virtual LAN

    ASJC Scopus subject areas

    • Software
    • Artificial Intelligence
    • Computer Science Applications

    Cite this

    Takahashi, K., Hirotsu, T., & Sugawara, T. (2011). Adaptive routing point control in virtualized local area networks using particle swarm optimizations. In Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI (pp. 352-360). [6103349] https://doi.org/10.1109/ICTAI.2011.59

    Adaptive routing point control in virtualized local area networks using particle swarm optimizations. / Takahashi, Kensuke; Hirotsu, Toshio; Sugawara, Toshiharu.

    Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI. 2011. p. 352-360 6103349.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Takahashi, K, Hirotsu, T & Sugawara, T 2011, Adaptive routing point control in virtualized local area networks using particle swarm optimizations. in Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI., 6103349, pp. 352-360, 23rd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2011, Boca Raton, FL, 11/11/7. https://doi.org/10.1109/ICTAI.2011.59
    Takahashi K, Hirotsu T, Sugawara T. Adaptive routing point control in virtualized local area networks using particle swarm optimizations. In Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI. 2011. p. 352-360. 6103349 https://doi.org/10.1109/ICTAI.2011.59
    Takahashi, Kensuke ; Hirotsu, Toshio ; Sugawara, Toshiharu. / Adaptive routing point control in virtualized local area networks using particle swarm optimizations. Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI. 2011. pp. 352-360
    @inproceedings{c0b0606f909048048708216b9d2442ad,
    title = "Adaptive routing point control in virtualized local area networks using particle swarm optimizations",
    abstract = "This paper describes methods for controlling routing points of VLAN domains using binary particle swarm optimization (BPSO) and angle modulated particle swarm optimization (AMPSO). Virtual LAN (VLAN) is a technique for virtualizing datalink layer (or L2) and can construct arbitrary logical networks on top of a physical network. However, VLAN often causes much redundant traffic due to inappropriate deployments of network-layer (L3) routing capabilities in VLAN networks. We propose two methods using BPSO and AMPSO, and show that they can adaptively select the routing points dynamically in accordance with the observed traffic patterns and thus reduce the redundant traffic. The convergence features are compared with those of the conventional method on the basis of a statistical method. Then we also show that the scalability of the algorithm using AMPOS is high and thus we can expect that it is applicable to practical large VLAN environments.",
    keywords = "Network management, Particle swarm optimization, Routing, Virtual LAN",
    author = "Kensuke Takahashi and Toshio Hirotsu and Toshiharu Sugawara",
    year = "2011",
    doi = "10.1109/ICTAI.2011.59",
    language = "English",
    isbn = "9780769545967",
    pages = "352--360",
    booktitle = "Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI",

    }

    TY - GEN

    T1 - Adaptive routing point control in virtualized local area networks using particle swarm optimizations

    AU - Takahashi, Kensuke

    AU - Hirotsu, Toshio

    AU - Sugawara, Toshiharu

    PY - 2011

    Y1 - 2011

    N2 - This paper describes methods for controlling routing points of VLAN domains using binary particle swarm optimization (BPSO) and angle modulated particle swarm optimization (AMPSO). Virtual LAN (VLAN) is a technique for virtualizing datalink layer (or L2) and can construct arbitrary logical networks on top of a physical network. However, VLAN often causes much redundant traffic due to inappropriate deployments of network-layer (L3) routing capabilities in VLAN networks. We propose two methods using BPSO and AMPSO, and show that they can adaptively select the routing points dynamically in accordance with the observed traffic patterns and thus reduce the redundant traffic. The convergence features are compared with those of the conventional method on the basis of a statistical method. Then we also show that the scalability of the algorithm using AMPOS is high and thus we can expect that it is applicable to practical large VLAN environments.

    AB - This paper describes methods for controlling routing points of VLAN domains using binary particle swarm optimization (BPSO) and angle modulated particle swarm optimization (AMPSO). Virtual LAN (VLAN) is a technique for virtualizing datalink layer (or L2) and can construct arbitrary logical networks on top of a physical network. However, VLAN often causes much redundant traffic due to inappropriate deployments of network-layer (L3) routing capabilities in VLAN networks. We propose two methods using BPSO and AMPSO, and show that they can adaptively select the routing points dynamically in accordance with the observed traffic patterns and thus reduce the redundant traffic. The convergence features are compared with those of the conventional method on the basis of a statistical method. Then we also show that the scalability of the algorithm using AMPOS is high and thus we can expect that it is applicable to practical large VLAN environments.

    KW - Network management

    KW - Particle swarm optimization

    KW - Routing

    KW - Virtual LAN

    UR - http://www.scopus.com/inward/record.url?scp=84862951922&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=84862951922&partnerID=8YFLogxK

    U2 - 10.1109/ICTAI.2011.59

    DO - 10.1109/ICTAI.2011.59

    M3 - Conference contribution

    AN - SCOPUS:84862951922

    SN - 9780769545967

    SP - 352

    EP - 360

    BT - Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI

    ER -