• DocumentCode
    3742692
  • Title

    Normally-off computing for IoT systems

  • Author

    Takashi Nakada;Toru Shimizu;Hiroshi Nakamura

  • Author_Institution
    Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan
  • fYear
    2015
  • Firstpage
    147
  • Lastpage
    148
  • Abstract
    It is important to thoroughly reduce energy consumption for IoT systems. Normally-Off is a way of computing which aggressively powers off components of computer systems when they need not to operate. Recently, new non-volatile memories (NVMs) have appeared. We introduce normally-off computing using these NVMs. As NVMs can maintain data without power supply, we can fully take the chances of energy reduction. To understand their characteristics and to manage temporal and special granularities are keys for normally-off IoT systems.
  • Keywords
    "Nonvolatile memory","Sensors","Random access memory","Power demand","Optimization","Computers","Servers"
  • Publisher
    ieee
  • Conference_Titel
    SoC Design Conference (ISOCC), 2015 International
  • Type

    conf

  • DOI
    10.1109/ISOCC.2015.7401761
  • Filename
    7401761