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
Link To Document :
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