DocumentCode
2022777
Title
Online Energy-Efficient Hard Real-Time Scheduling for Component Oriented Systems
Author
He, Da ; Mueller, Wolfgang
Author_Institution
C-Lab., Univ. of Paderborn, Paderborn, Germany
fYear
2012
fDate
11-13 April 2012
Firstpage
56
Lastpage
63
Abstract
The energy efficiency becomes one of the most important concerns in mobile electronic systems design with mandatory requirements for low energy consumption, long battery life and low heat dissipation. Dynamic Power Management (DPM) and Dynamic Voltage and Frequency Scaling (DVFS or DVS) are two widely applied system level techniques to conserve system-wide power consumption. In the context of hard real-time systems, however, DPM and DVS have to be used with great caution in terms of timing constraints. In this article, we study the combined application of DPM and DVS for component oriented systems with hard real-time tasks and propose a simulated annealing based optimization algorithm and its online execution with constant complexity at each scheduling point. Additionally, our approach considers multiple low power states (sleep states) with non-negligible switching overhead. The experimental results show that our approach can achieve almost an optimal solution.
Keywords
energy consumption; mobile computing; power aware computing; real-time systems; scheduling; simulated annealing; battery life; component oriented systems; dynamic power management; dynamic voltage and frequency scaling; energy consumption; energy-efficient hard realtime scheduling; heat dissipation; mobile electronic systems design; scheduling point; simulated annealing based optimization algorithm; sleep state; switching overhead; system-wide power consumption; timing constraint; Energy consumption; Heuristic algorithms; Power demand; Real time systems; Schedules; Switches; Voltage control; Dynamic Power Management; Dynamic Voltage and Frequency Scaling; Hard Real-Time Systems; Online;
fLanguage
English
Publisher
ieee
Conference_Titel
Object/Component/Service-Oriented Real-Time Distributed Computing (ISORC), 2012 IEEE 15th International Symposium on
Conference_Location
Guangdong
ISSN
1555-0885
Print_ISBN
978-1-4673-0499-3
Type
conf
DOI
10.1109/ISORC.2012.16
Filename
6195861
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