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Performance evaluation of meta-heuristics in energy aware real-time scheduling problems
Joint Authors
Suyyagh, Ashraf
Tong, Jason G.
Zilic, Zeljko
Source
Jordanian Journal of Computetrs and Information Technology
Issue
Vol. 2, Issue 1 (30 Apr. 2016), pp.68-85, 18 p.
Publisher
Princess Sumaya University for Technology
Publication Date
2016-04-30
Country of Publication
Jordan
No. of Pages
18
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
Energy efficient real-time systems have been a prime concern in the past few years.
Techniques at all levels of system design are being developed to reduce energy consumption.
At the physical level, new fabrication technologies attempt to minimize overall chipset power.
At the system design level, technologies such as Dynamic Voltage and Frequency Scaling (DVFS) and Dynamic Power Management (DPM) allow for changing the processor frequency on-the-fly or go into sleep modes to minimize operational power.
At the operating system level, energy-efficient scheduling utilizes DVFS and DPM at the task level to achieve further energy savings.
Most energy-efficient scheduling research efforts focused on reducing processor power.
Recently, system-wide solutions have been investigated.
In this work, we extend on the previous work by adapting two evolutionary algorithms for system-wide energy minimization.
We analyse the performance of our algorithms under variable initial conditions.
We further show that our meta-heuristics statistically provide energy minimizations that are closer to the optimum 85% of the time compared to about 30% of those achieved by simulated annealing over 500 unique test sets.
Our results further demonstrate that in over 95% of the cases, meta-heuristics provide more minimizations than the CS-DVS static method.
American Psychological Association (APA)
Suyyagh, Ashraf& Tong, Jason G.& Zilic, Zeljko. 2016. Performance evaluation of meta-heuristics in energy aware real-time scheduling problems. Jordanian Journal of Computetrs and Information Technology،Vol. 2, no. 1, pp.68-85.
https://search.emarefa.net/detail/BIM-1416011
Modern Language Association (MLA)
Suyyagh, Ashraf…[et al.]. Performance evaluation of meta-heuristics in energy aware real-time scheduling problems. Jordanian Journal of Computetrs and Information Technology Vol. 2, no. 1 (Apr. 2016), pp.68-85.
https://search.emarefa.net/detail/BIM-1416011
American Medical Association (AMA)
Suyyagh, Ashraf& Tong, Jason G.& Zilic, Zeljko. Performance evaluation of meta-heuristics in energy aware real-time scheduling problems. Jordanian Journal of Computetrs and Information Technology. 2016. Vol. 2, no. 1, pp.68-85.
https://search.emarefa.net/detail/BIM-1416011
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 83-85
Record ID
BIM-1416011