DocumentCode :
3471409
Title :
Battery Aware Variable Voltage Task Scheduling for System Energy Consumption Minimization
Author :
Zuo-dong, Wang ; Shao-jun, Wei
Author_Institution :
Inst. of Microelectron., Tsinghua Univ., Beijing
fYear :
2006
fDate :
23-26 Oct. 2006
Firstpage :
1630
Lastpage :
1632
Abstract :
Optimization of battery energy consumption by variable voltage task scheduling technique is studied in the paper. An efficient slack time allocation policy is firstly derived by comprehensive analysis on non-linear characteristics of battery. In further, two heuristic BATS (battery aware task scheduling) algorithms are proposed. The former takes the task discharge current as the priority function for slack time allocation, hence can reduce the peak power efficiently, while the later takes the task discharge current weighted by execution time as the priority function, hence can optimize the battery energy consumption more efficiently. Experiment results show that the proposed algorithms can greatly reduce the battery energy consumption by more than 30% and the peak power of the system simultaneously
Keywords :
low-power electronics; microprocessor chips; processor scheduling; battery aware variable voltage task scheduling; battery energy consumption optimization; comprehensive analysis; execution time; heuristic algorithms; slack time allocation policy; system energy consumption minimization; task discharge current; Algorithm design and analysis; Analytical models; Batteries; Cost function; Delay; Energy consumption; Microelectronics; Power system modeling; Scheduling algorithm; Voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Solid-State and Integrated Circuit Technology, 2006. ICSICT '06. 8th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
1-4244-0160-7
Electronic_ISBN :
1-4244-0161-5
Type :
conf
DOI :
10.1109/ICSICT.2006.306333
Filename :
4098494
Link To Document :
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