An Energy-Efficient Task Scheduling for Near Real-Time Systems on Heterogeneous Multicore Processors

Near real-time periodic tasks, which are popular in multimedia streaming applications, have deadline periods that are longer than the input intervals thanks to buffering. For such applications, the conventional frame-based schedulings cannot realize the optimal scheduling due to their shortsighted d...

Full description

Saved in:
Bibliographic Details
Published inIEICE Transactions on Information and Systems Vol. E103.D; no. 2; pp. 329 - 338
Main Authors NAKADA, Takashi, YANAGIHASHI, Hiroyuki, IMAI, Kunimaro, UEKI, Hiroshi, TSUCHIYA, Takashi, HAYASHIKOSHI, Masanori, NAKAMURA, Hiroshi
Format Journal Article
LanguageEnglish
Published Tokyo The Institute of Electronics, Information and Communication Engineers 01.02.2020
Japan Science and Technology Agency
Subjects
adaptive task scheduling
Algorithms
energy efficiency
Energy management
heterogeneous multicore processors
Microprocessors
Multimedia
near real-time processing
Power consumption
Power management
Real time
Task scheduling
Online AccessGet full text

Cover

More Information
Summary:Near real-time periodic tasks, which are popular in multimedia streaming applications, have deadline periods that are longer than the input intervals thanks to buffering. For such applications, the conventional frame-based schedulings cannot realize the optimal scheduling due to their shortsighted deadline assumptions. To realize globally energy-efficient executions of these applications, we propose a novel task scheduling algorithm, which takes advantage of the long deadline period. We confirm our approach can take advantage of the longer deadline period and reduce the average power consumption by up to 18%.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0916-8532
1745-1361
DOI:10.1587/transinf.2019EDP7101