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A High Performance Load Balance Strategy for Real-Time Multicore Systems
- Source :
- The Scientific World Journal, The Scientific World Journal, Vol 2014 (2014)
- Publication Year :
- 2014
- Publisher :
- Hindawi Publishing Corporation, 2014.
-
Abstract
- 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.
- Subjects :
- Earliest deadline first scheduling
Multi-core processor
Article Subject
Computer science
lcsh:T
Computation
Distributed computing
lcsh:R
lcsh:Medicine
General Medicine
Dynamic priority scheduling
Energy consumption
lcsh:Technology
General Biochemistry, Genetics and Molecular Biology
Fair-share scheduling
Scheduling (computing)
Computer Systems
Multicore systems
lcsh:Q
lcsh:Science
Algorithms
General Environmental Science
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 1537744X and 23566140
- Volume :
- 2014
- Database :
- OpenAIRE
- Journal :
- The Scientific World Journal
- Accession number :
- edsair.doi.dedup.....f4300a7eebffbccf5e1564bf05365824