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Live Virtual Machine Migration for Big Memory Databases

Research Project

Project/Area Number 17K00094
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Software
Research InstitutionTokyo University of Agriculture and Technology

Principal Investigator

Yamada Hiroshi  東京農工大学, 工学(系)研究科(研究院), 准教授 (00571572)

Project Period (FY) 2017-04-01 – 2020-03-31
Project Status Completed (Fiscal Year 2019)
Budget Amount *help
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2019: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2018: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2017: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Keywords仮想マシン移送 / データベース管理システム / 仮想化技術 / 仮想マシン / データベース / ビッグメモリ
Outline of Final Research Achievements

Live migration, which enables us to move running VMs between different physical hosts, is useful for administrative tasks such as physical host maintenance, load balancing, and energy consumption. Although it is desirable for administrators that the live migration completes as quick as possible, the widely used live migration scheme, named Pre-copy, does not satisfy this demand on the current trend that VMs on which database management systems (DBMSs) have a large amount of memory. To address this issue, we explore an approach to shortening total time for migrating VMs running a DBMS. Our approach exploits DBMS-level resource management information to build the VM states on the destination by transferring the VM memory on the source and fetching DB items from the shared storage in parallel. We prototyped database-assisted live migration on Xen 4.4.2, Linux 3.18.20, and MySQL 5.6.26 and evaluated the prototype.

Academic Significance and Societal Importance of the Research Achievements

当該分野における応募課題の学術的意義は 1).DBMS と VM モニタとを連動させる手法を示している点,2). 提案方式をソフトウェアとして実現する点,3). 提案の有効性を定量的に評価している点などにある.社会的意義は,本方式によって,今後も重要となるビッグメモリDBMSが稼働する状況においてもVM移送を用いた VM の再配置を可能にし,現行のデータセンタの効率的な管理に導くことに寄与する.また,VM モニタとDBMS が連動可能であることを示し,新たなデザインスペースの提示することで当該分野の学術分野,産業分野を活性化していく.

Report

(4 results)
  • 2019 Annual Research Report   Final Research Report ( PDF )
  • 2018 Research-status Report
  • 2017 Research-status Report
  • Research Products

    (3 results)

All 2019 2018

All Journal Article (2 results) (of which Peer Reviewed: 1 results) Presentation (1 results)

  • [Journal Article] Shortening Downtime of Reboot-Based Kernel Updates Using Dwarf2018

    • Author(s)
      Ken Terada, Hiroshi Yamada
    • Journal Title

      IEICE Transactions on Information and Systems

      Volume: E101.D Issue: 12 Pages: 2991-3004

    • DOI

      10.1587/transinf.2017EDP7397

    • NAID

      130007539372

    • ISSN
      0916-8532, 1745-1361
    • Year and Date
      2018-12-01
    • Related Report
      2018 Research-status Report
    • Peer Reviewed
  • [Journal Article] ページ共有を利用したMulti-Variant監視効率化手法2018

    • Author(s)
      清水祐太郎,山田浩史
    • Journal Title

      研究報告システムソフトウェアとオペレーティング・システム(OS)

      Volume: 2018-OS-144 Pages: 1-13

    • Related Report
      2018 Research-status Report
  • [Presentation] インメモリデータベースと連動する仮想マシンライブ移送2019

    • Author(s)
      真島 大輝,山田 浩史
    • Organizer
      第147回システムソフトウェアとオペレーティングシステム研究会
    • Related Report
      2019 Annual Research Report

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Published: 2017-04-28   Modified: 2021-02-19  

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