DocumentCode
1926003
Title
Heuristics for Static Voltage Scheduling Algorithms on Battery-Powered DVS Systems
Author
Yokoyama, Tetsuo ; Zeng, Gang ; Tomiyama, Hiroyuki ; Takada, Hiroaki
Author_Institution
Grad. Sch. of Inf. Sci., Nagoya Univ. Furo-cho, Nagoya
fYear
2009
fDate
25-27 May 2009
Firstpage
265
Lastpage
272
Abstract
The principles for good design of battery-aware voltage scheduling algorithms for both a periodic and periodic task sets on dynamic voltage scaling (DVS) systems are presented. The proposed algorithms are based on greedy heuristics suggested by several battery characteristics and Lagrange multipliers. To construct the proposed algorithms,we use the battery characteristics in the early stage of scheduling more properly. As a consequence, the proposed algorithms show superior results on synthetic examples of periodic and a periodic tasks from the task sets which are excerpted from the comparative work, on uniprocessor platforms. Especially, for some large task sets,the proposed algorithms enable previously unschedulable task sets due to battery exhaustion to be schedulable.
Keywords
battery management systems; power aware computing; scheduling; Lagrange multipliers; battery characteristics; battery exhaustion; battery-aware voltage scheduling algorithm; battery-powered DVS system; dynamic voltage scaling systems; greedy heuristics; periodic task sets; static voltage scheduling algorithm; uniprocessor platforms; Batteries; Dynamic voltage scaling; Embedded software; Energy consumption; History; Information science; Lagrangian functions; Power system modeling; Scheduling algorithm; Voltage control;
fLanguage
English
Publisher
ieee
Conference_Titel
Embedded Software and Systems, 2009. ICESS '09. International Conference on
Conference_Location
Zhejiang
Print_ISBN
978-1-4244-4359-8
Type
conf
DOI
10.1109/ICESS.2009.19
Filename
5066657
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