A High Performance Load Balance Strategy for Real-Time Multicore Systems
Joint Authors
Tsai, Chun-Wei
Cho, Keng-Mao
Chiu, Yi-Shiuan
Yang, Chu-Sing
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-13
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Finding ways to distribute workloads to each processor core and efficiently reduce power consumption is of vital importance, especially for real-time systems.
In this paper, a novel scheduling algorithm is proposed for real-time multicore systems to balance the computation loads and save power.
The developed algorithm simultaneously considers multiple criteria, a novel factor, and task deadline, and is called power and deadline-aware multicore scheduling (PDAMS).
Experiment results show that the proposed algorithm can greatly reduce energy consumption by up to 54.2% and the deadline times missed, as compared to the other scheduling algorithms outlined in this paper.
American Psychological Association (APA)
Cho, Keng-Mao& Tsai, Chun-Wei& Chiu, Yi-Shiuan& Yang, Chu-Sing. 2014. A High Performance Load Balance Strategy for Real-Time Multicore Systems. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-1048270
Modern Language Association (MLA)
Cho, Keng-Mao…[et al.]. A High Performance Load Balance Strategy for Real-Time Multicore Systems. The Scientific World Journal No. 2014 (2014), pp.1-14.
https://search.emarefa.net/detail/BIM-1048270
American Medical Association (AMA)
Cho, Keng-Mao& Tsai, Chun-Wei& Chiu, Yi-Shiuan& Yang, Chu-Sing. A High Performance Load Balance Strategy for Real-Time Multicore Systems. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-1048270
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048270