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2019 Fiscal Year Annual Research Report

Design and Evaluation of a Mobile Cloud Computing Terminal System

Research Project

Project/Area Number 18J10020
Research InstitutionTohoku University

Principal Investigator

Gama Rodrigues Tiago  東北大学, 情報科学研究科, 特別研究員(DC2)

Project Period (FY) 2018-04-25 – 2020-03-31
Keywordsedge cloud / cloud computing / computer networks / computation offloading / machine learning / artificial intelligence
Outline of Annual Research Achievements

The survey of research using Machine Learning and Mobile Edge Cloud I completed last year was accepted in the beginning of this year. I also created a Machine Learning-based protocol for deciding the best locations to deploy edge servers based on network architecture and user disposition. My solution is capable of improving performance 40% from what conventional research applies. This research resulted in a presentation in an esteemed international conference and a publication in a top ranked journal. I ended the year by working on my my Doctor’s thesis. I talked about how Machine Learning could be used to significantly improve the performance of Mobile Edge Cloud. In thesis I also combined all my previous solutions into one single overarching protocol.

Research Progress Status

令和元年度が最終年度であるため、記入しない。

Strategy for Future Research Activity

令和元年度が最終年度であるため、記入しない。

  • Research Products

    (3 results)

All 2020 2019

All Journal Article (2 results) (of which Int'l Joint Research: 2 results,  Peer Reviewed: 2 results) Presentation (1 results) (of which Int'l Joint Research: 1 results)

  • [Journal Article] Machine Learning Meets Computation and Communication Control in Evolving Edge and Cloud: Challenges and Future Perspective2020

    • Author(s)
      Rodrigues Tiago Koketsu、Suto Katsuya、Nishiyama Hiroki、Liu Jiajia、Kato Nei
    • Journal Title

      IEEE Communications Surveys & Tutorials

      Volume: 22 Pages: 38~67

    • DOI

      10.1109/COMST.2019.2943405

    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Edge Cloud Server Deployment with Transmission Power Control through Machine Learning for 6G Internet of Things2020

    • Author(s)
      Koketsu Rodrigues Tiago、Suto Katsuya、Kato Nei
    • Journal Title

      IEEE Transactions on Emerging Topics in Computing

      Volume: 1 Pages: 1~1

    • DOI

      10.1109/TETC.2019.2963091

    • Peer Reviewed / Int'l Joint Research
  • [Presentation] Hyperparameter Study of Machine Learning Solutions for the Edge Server Deployment2019

    • Author(s)
      Koketsu Rodrigues Tiago
    • Organizer
      IEEE
    • Int'l Joint Research

URL: 

Published: 2021-01-27  

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