An Optimal Information Centric Networking Model for the Future Green Network

Ngoc quang Nguyen, M. Arifuzzaman, T. Miyamoto, Takuro Sato

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

    10 Citations (Scopus)

    Abstract

    In order to address the energy flaw and enhance the energy efficiency of Information Centric Networking (ICN) Architecture, this research proposes an innovated optimal ICN model with adaptive power consumption ability based on the popularity of the content to adapt content router link rate to its real-time utilization for optimizing the ICN router operating power value and based on the interest traffic to the server to select the optimal working mode for the server/content provider. With this dynamic control/adaptive mechanism, the proposed architecture can provide higher reliability with dynamic energy efficiency consumption and better cost-effectiveness for the future ICN infrastructure system to reduce electricity usage, cost and greenhouse gases, then solve global warming issues.

    Original languageEnglish
    Title of host publicationProceedings - 2015 IEEE 12th International Symposium on Autonomous Decentralized Systems, ISADS 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages272-277
    Number of pages6
    ISBN (Print)9781479982615
    DOIs
    Publication statusPublished - 2015 Apr 29
    Event2015 12th IEEE International Symposium on Autonomous Decentralized Systems, ISADS 2015 - Taichung, Taiwan, Province of China
    Duration: 2015 Mar 252015 Mar 27

    Other

    Other2015 12th IEEE International Symposium on Autonomous Decentralized Systems, ISADS 2015
    CountryTaiwan, Province of China
    CityTaichung
    Period15/3/2515/3/27

    Fingerprint

    Routers
    Energy efficiency
    Servers
    Global warming
    Cost effectiveness
    Greenhouse gases
    Electric power utilization
    Electricity
    Defects
    Costs

    Keywords

    • Adaptive Link Rate (ALR)
    • Future Internet
    • Green Network
    • Information Centric Networking (ICN)

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Control and Systems Engineering

    Cite this

    Nguyen, N. Q., Arifuzzaman, M., Miyamoto, T., & Sato, T. (2015). An Optimal Information Centric Networking Model for the Future Green Network. In Proceedings - 2015 IEEE 12th International Symposium on Autonomous Decentralized Systems, ISADS 2015 (pp. 272-277). [7098271] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISADS.2015.39

    An Optimal Information Centric Networking Model for the Future Green Network. / Nguyen, Ngoc quang; Arifuzzaman, M.; Miyamoto, T.; Sato, Takuro.

    Proceedings - 2015 IEEE 12th International Symposium on Autonomous Decentralized Systems, ISADS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 272-277 7098271.

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

    Nguyen, NQ, Arifuzzaman, M, Miyamoto, T & Sato, T 2015, An Optimal Information Centric Networking Model for the Future Green Network. in Proceedings - 2015 IEEE 12th International Symposium on Autonomous Decentralized Systems, ISADS 2015., 7098271, Institute of Electrical and Electronics Engineers Inc., pp. 272-277, 2015 12th IEEE International Symposium on Autonomous Decentralized Systems, ISADS 2015, Taichung, Taiwan, Province of China, 15/3/25. https://doi.org/10.1109/ISADS.2015.39
    Nguyen NQ, Arifuzzaman M, Miyamoto T, Sato T. An Optimal Information Centric Networking Model for the Future Green Network. In Proceedings - 2015 IEEE 12th International Symposium on Autonomous Decentralized Systems, ISADS 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 272-277. 7098271 https://doi.org/10.1109/ISADS.2015.39
    Nguyen, Ngoc quang ; Arifuzzaman, M. ; Miyamoto, T. ; Sato, Takuro. / An Optimal Information Centric Networking Model for the Future Green Network. Proceedings - 2015 IEEE 12th International Symposium on Autonomous Decentralized Systems, ISADS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 272-277
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