For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
An Energy-Efficient Task Scheduling for Near Real-Time Systems on Heterogeneous Multicore Processors
Takashi NAKADA Hiroyuki YANAGIHASHI Kunimaro IMAI Hiroshi UEKI Takashi TSUCHIYA Masanori HAYASHIKOSHI Hiroshi NAKAMURA
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2020/02/01
Online ISSN: 1745-1361
Type of Manuscript: PAPER
Category: Software System
adaptive task scheduling, near real-time processing, energy efficiency, heterogeneous multicore processors,
Full Text: PDF>>
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%.