DocumentCode :
3575121
Title :
Voltage Island Aware Energy Efficient Scheduling of Real-Time Tasks on Multi-core Processors
Author :
Jun Liu ; Jinhua Guo
Author_Institution :
Dept. of Comput. & Inf. Sci., Univ. of Michigan at Dearborn, Dearborn, MI, USA
fYear :
2014
Firstpage :
645
Lastpage :
652
Abstract :
There have been many energy-efficient real-time task scheduling research works on multi-core processors. Most assume that the voltage/frequency level for each core can be individually controlled by using Dynamic Voltage and Frequency Scaling (DVFS). However, providing individual voltage for each core can be very complicated and expensive. Most modern processors adopt voltage islands, in which a group of cores in an island always operate at the same voltage level. We propose a Voltage Island Largest Capacity First (VILCF) algorithm for energy efficient scheduling of periodic real-time tasks on multi-core processors. It achieves great energy efficiency by fully utilizing the remaining capacity of an island before turning on more islands or increasing the voltage level of the current islands. We provide detailed theoretical analysis of the approximation ratio of the proposed VILCF algorithm in terms of energy efficiency. Furthermore, our experiment results show that VILCF significantly outperforms the existing algorithms when there are more than one cores in each voltage island.
Keywords :
multiprocessing systems; power aware computing; processor scheduling; real-time systems; DVFS; VILCF algorithm; dynamic voltage and frequency scaling; energy-efficient real-time task scheduling; multicore processors; periodic real-time tasks; real-time task scheduling; voltage island aware energy efficient scheduling; voltage island largest capacity first algorithm; Energy consumption; Indexes; Multicore processing; Power demand; Processor scheduling; Real-time systems; Schedules; Dynamic Voltage Frequency Scaling; Energy Efficient; Real Time; Task Scheduling; Voltage Island;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Computing and Communications, 2014 IEEE 6th Intl Symp on Cyberspace Safety and Security, 2014 IEEE 11th Intl Conf on Embedded Software and Syst (HPCC,CSS,ICESS), 2014 IEEE Intl Conf on
Print_ISBN :
978-1-4799-6122-1
Type :
conf
DOI :
10.1109/HPCC.2014.94
Filename :
7056812
Link To Document :
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