DocumentCode :
592856
Title :
Dynamic power scheduling for VM-based multi-core systems
Author :
Jhe-Ming Liang ; Ren-Hao Zhan ; Wei-Mei Chen
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
fYear :
2012
fDate :
3-6 Dec. 2012
Firstpage :
379
Lastpage :
386
Abstract :
This study explored the issue of power consumption for multi-core systems supporting virtual technology environment and proposed a highly effective dynamic power management mechanism for a virtual machine environment, which regulates the voltage and frequency of core processors to reduce energy consumption during system operations. We analyzed the actual execution state of the threads under the system environment executed by KVM virtualization technology and implemented this power management mechanism in the Linux 2.6 operating system. The experimental results indicated that the proposed mechanism is capable of reducing system energy consumption by an average of nearly 65%, while prolonging the execution time by an average of only 3%. The results suggest that, aside from considering the execution time, this mechanism can achieve the main objective of energy saving.
Keywords :
Linux; energy consumption; multi-threading; multiprocessing systems; power aware computing; virtual machines; virtualisation; DVFS; KVM virtualization technology; Linux 2.6 operating system; VM-based multicore systems; core processors; dynamic power management; dynamic power scheduling; frequency regulation; power consumption; system energy consumption reduction; thread execution state; virtual machine environment; virtual technology environment; voltage regulation; Instruction sets; Linux; Operating systems; Power demand; Time frequency analysis; Virtual machining; DVFS; KVM; linux; multi-core system; scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing Technology and Science (CloudCom), 2012 IEEE 4th International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4673-4511-8
Electronic_ISBN :
978-1-4673-4509-5
Type :
conf
DOI :
10.1109/CloudCom.2012.6427584
Filename :
6427584
Link To Document :
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