Updated on 2024/04/05

写真a

 
Yoshida Mikiya
 
Organization
Center for Information Technology and Management Assistant Professor
Position
Assistant Professor
External link

Degree

  • Doctor of Engineering ( The University of Kitakyushu )

 

Papers

  • PopDCN: Popularity-aware dynamic clustering scheme for distributed caching in ICN Reviewed

    Mikiya Yoshida, Yusuke Ito, Yurino Sato, Hiroyuki Koga

    IEICE Transactions on Communications   E107-B ( 5 )   2024.5

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    Language：Japanese   Publishing type：Research paper (scientific journal)  

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  • A Study on Semi-reliable Communications for Real-time Data Stream Services Reviewed

    Kotaro Uchida, Mikiya Yoshida, Hiroyuki Koga

    2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)   2024.1

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  • A Study on Bloom Filter-based Routing Scheme to Reduce Network Overhead in ICN Reviewed

    Taketo Yasuyama, Mikiya Yoshida, Hiroyuki Koga

    2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)   2024.1

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  • Performance evaluation of popularity-aware dynamic clustering scheme for distributed caching in ICN Reviewed

    Mikiya Yoshida, Yusuke Ito, Yurino Sato, Hiroyuki Koga

    Proceedings of 2022 asia-pacific signal and information processing association annual summit and conference, APSIPA ASC 2022   185 - 190   2022.10

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    Language：English   Publishing type：Research paper (international conference proceedings)  

    Information-Centric Networking (ICN) provides low-latency content delivery with in-network caching, while delivery latency depends on cache distance from consumers. To reduce delivery latency, a scheme to cluster domains and retain the main popular content in each cluster with a cache distribution range has been proposed, which enables consumers to retrieve content from neighboring clusters/caches. However, when the distribution of content popularity changes, all caches of the content may not be distributed adequately in a cluster, so consumers cannot retrieve them from nearby caches. We therefore have proposed a concept of dynamic clustering scheme to adjust the cache distribution range according to the change in content popularity. In this paper, we evaluate the effectiveness of the proposed scheme in more detail through simulation.

    DOI： 10.23919/APSIPAASC55919.2022.9979928

    Scopus

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  • Popularity-aware dynamic clustering scheme for distributed caching in ICN Reviewed

    Mikiya Yoshida, Yusuke Ito, Yurino Sato, Hiroyuki Koga

    ICN 2022 - proceedings of the 2022 9th ACM conference on information-centric networking   192 - 193   2022.9

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    Language：English   Publishing type：Research paper (international conference proceedings)  

    To realize low-latency content delivery in Information-Centric Networking, a scheme to cluster domains and retain popular content in each cluster has been proposed, which enables consumers to retrieve content from nearby clusters. However, when the distribution of content popularity changes, all caches of content may not be retained adequately in a cluster, so consumers could not retrieve them from nearby clusters. We therefore propose a dynamic clustering scheme to adjust the cluster size, according to the change of content popularity, considering cache utilization and delivery latency, and evaluated its effectiveness through simulation.

    DOI： 10.1145/3517212.3559482

    Scopus

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  • A cluster-based cache distribution scheme in content-centric networking Reviewed

    Mikiya Yoshida, Yusuke Ito, Yurino Sato, Hiroyuki Koga

    ICN 2018 - proceedings of the 5th ACM conference on information-centric networking   196 - 197   2018.9

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    Language：English   Publishing type：Research paper (international conference proceedings)  

    Content-centric networking (CCN) promises efficient content delivery services with in-network caching. To improve cache efficiency, some approaches that efficiently distribute and obtain various caches over a domain, have been proposed. However, the time needed to obtain content gets longer in larger scale networks. We therefore propose an efficient cluster-based cache distribution scheme to improve the time needed to obtain content as well as cache efficiency. We evaluate the effectiveness of this approach through simulation.

    DOI： 10.1145/3267955.3269012

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MISC

  • ICNにおけるブルームフィルタを用いた効率的な経路制御手法の性能評価

    安山雄翔, 吉田未希也, 伊藤友輔, 古閑宏幸

    電子情報通信学会 技術研究報告   123 ( 397(NS2023-180) )   50 - 55   2024.2

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  • リアルタイムデータストリームのための準信頼性通信に関する検討

    内田耕太郎, 吉田未希也, 古閑宏幸

    電子情報通信学会技術研究報告   123 ( 198(NS2023 98) )   132 - 133   2023.10

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  • ICNにおける制御負荷軽減のためのブルームフィルタを用いた経路制御手法の検討

    安山雄翔, 吉田未希也, 古閑宏幸

    電子情報通信学会大会講演論文集 2023   2023.9

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    Publishing type：Research paper, summary (national, other academic conference)  

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  • Feedback delay-aware deadline scheduling for distributed edge computing

    吉井篤志, 吉田未希也, 伊藤友輔, 古閑宏幸

    電子情報通信学会技術研究報告(Web)   122 ( 198(NS2022 76-99) )   2022

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  • A study on improving cache utilization with coding in information-centric networking

    Record of joint conference of electrical and electronics engineers in kyushu   2021   256 - 256   2021.9

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    Language：Japanese   Publisher：Committee of joint conference of electrical, electronics and information engineers in kyushu  

    DOI： 10.11527/jceeek.2021.0_256

    J-GLOBAL

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  • Prototype system of real-time IoT sensor monitoring for recycling

    Record of joint conference of electrical and electronics engineers in kyushu   2019   266 - 266   2019.9

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    Language：Japanese   Publisher：Committee of joint conference of electrical, electronics and information engineers in kyushu  

    DOI： 10.11527/jceeek.2019.0_266

    CiNii Article

    J-GLOBAL

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  • Proposal and evaluation of cluster-based cache distribution scheme in information-centric networking

    吉田未希也, 伊藤友輔, 佐当百合野, 古閑宏幸

    電子情報通信学会技術研究報告   119 ( 107(NS2019 43-88)(Web) )   2019

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  • コンテンツ指向ネットワークにおけるクラスタ化を用いたキャッシュ分散手法

    吉田未希也, 伊藤友輔, 佐当百合野, 古閑宏幸

    電子情報通信学会大会講演論文集(CD-ROM)   2018   2018

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Class subject in charge

  • Introduction to Information Processing 2 （2023academic year） Second semester  - 月5～6

  • Introduction to Information Processing 3 （2023academic year） Third semester  - 月5～6