An artificial neural network-based distributed information-centric network service

    研究成果: Conference contribution

    3 被引用数 (Scopus)

    抄録

    Artificial neural networks (ANN) have been widely used in various areas. As a bottleneck, hardware specification affects the efficiency of an ANN. With the development of distributed computing, distributed ANNs show advantages in dealing with huge data. The network bandwidth is a new bottleneck restricting the performance of distributed ANNs. Information-Centric Networking (ICN) [1], as the Next Generation Network (NGN) solution, has shown merits regarding mobility, security, power consumption and network traffic. In this paper, we remodel the architecture of network service using ANNs. We proposed an ANN-Based Distributed Information-Centric Network Service (ANN based DICNS). The distributed nodes are connected like a neural network. When a client utilizes the DICNS, the data flow from the source to the consumer node like the signal traveling from an input layer to an output layer in a neural network. By using an ICN, our proposal can significantly reduce network consumption, and the named data can help the DICNS effectively manage and classify the data.

    本文言語English
    ホスト出版物のタイトルProceedings - 20th International Symposium on Wireless Personal Multimedia Communications, WPMC 2017
    出版社IEEE Computer Society
    ページ453-458
    ページ数6
    2017-December
    ISBN(電子版)9781538627679
    DOI
    出版ステータスPublished - 2018 2 22
    イベント20th International Symposium on Wireless Personal Multimedia Communications, WPMC 2017 - Bali, Indonesia
    継続期間: 2017 12 172017 12 20

    Other

    Other20th International Symposium on Wireless Personal Multimedia Communications, WPMC 2017
    国/地域Indonesia
    CityBali
    Period17/12/1717/12/20

    ASJC Scopus subject areas

    • コンピュータ ネットワークおよび通信
    • コンピュータ サイエンスの応用
    • 人間とコンピュータの相互作用

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