DocumentCode :
500813
Title :
An adaptive scheduling and voltage/frequency selection algorithm for real-time energy harvesting systems
Author :
Liu, Shaobo ; Wu, Qing ; Qiu, Qinru
Author_Institution :
Dept. of Electr. & Comput. Eng., State Univ. of New York, Binghamton, NY, USA
fYear :
2009
fDate :
26-31 July 2009
Firstpage :
782
Lastpage :
787
Abstract :
In this paper we propose an adaptive scheduling and voltage frequency selection algorithm which targets at energy harvesting systems. The proposed algorithm adjusts the processor operating frequency under the timing and energy constraints based on workload information so that the system wide energy efficiency is achieved. In this approach, we decouple the timing and energy constraints and simplify the original scheduling problem by separating constraints in timing and energy domains. The proposed algorithm utilizes maximum task slack for energy saving. Experimental results show that the proposed method improves the system performance in remaining energy, deadline miss rate and the minimum storage capacity requirement for zero deadline miss rate. Comparing to the existing algorithms, the new algorithm decreases the deadline miss rate by at least 23%, and the minimum storage capacity by at least 20% under various processor utilizations.
Keywords :
adaptive scheduling; energy conservation; energy harvesting; power aware computing; processor scheduling; real-time systems; adaptive scheduling; energy efficiency; energy harvesting systems; processor operating frequency; real-time systems; voltage frequency selection algorithm; Adaptive scheduling; Energy efficiency; Energy storage; Frequency; Processor scheduling; Real time systems; Scheduling algorithm; System performance; Timing; Voltage; Dynamic voltage and frequency selection; Energy harvesting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design Automation Conference, 2009. DAC '09. 46th ACM/IEEE
Conference_Location :
San Francisco, CA
ISSN :
0738-100X
Print_ISBN :
978-1-6055-8497-3
Type :
conf
Filename :
5227068
Link To Document :
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