Open AccessReal-time Task Scheduling Methods to Incorporate Low-power Techniques of Processors and Memory in IoT Environments
Author(s) -
Sunhwa A. Nam,
Hyokyung Bahn
Publication year - 2017
Publication title -
the journal of the institute of internet, broadcasting and communication
Language(s) - English
Resource type - Journals
eISSN - 2289-0246
pISSN - 2289-0238
DOI - 10.7236/jiibc.2017.17.2.1
Subject(s) - computer science , non volatile random access memory , embedded system , power consumption , frequency scaling , scaling , scheduling (production processes) , task (project management) , voltage , power management , non volatile memory , power (physics) , voltage reduction , computer hardware , semiconductor memory , memory refresh , electrical engineering , computer memory , engineering , operations management , physics , geometry , mathematics , systems engineering , quantum mechanics