DocumentCode :
2181069
Title :
Energy-Conscious Cloud Computing Adopting DVFS and State-Switching for Workflow Applications
Author :
Chih-hsuan Hsu ; Cho-Chin Lin ; Tsan-sheng Hsu
Author_Institution :
Inst. of Inf. Sci., Taipei, Taiwan
fYear :
2013
fDate :
16-19 Dec. 2013
Firstpage :
1
Lastpage :
8
Abstract :
Reducing energy consumption without scarifying service quality is important for cloud computing. Efficient scheduling algorithms HEFT-D and HEFT-DS based on frequency-scaling and state-switching techniques are proposed. Our scheduling algorithms use the fact that the hosts employing a lower frequency or entering a sleeping state may consume less energy without leading to a longer makespan. Experimental results have shown that our algorithms maintain the performance as good as that of HEFT while the energy consumption is reduced.
Keywords :
cloud computing; energy consumption; power aware computing; scheduling; DVFS; HEFT-D; HEFT-DS; energy consumption reduction; energy-conscious cloud computing; frequency-scaling technique; scheduling algorithm; state-switching technique; workflow application; Cloud computing; Computational modeling; Energy consumption; Indexes; Scheduling; Scheduling algorithms; Time-frequency analysis; DVFS; cloud computing; energy-conscious; state-switching; workflow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing and Big Data (CloudCom-Asia), 2013 International Conference on
Conference_Location :
Fuzhou
Print_ISBN :
978-1-4799-2829-3
Type :
conf
DOI :
10.1109/CLOUDCOM-ASIA.2013.60
Filename :
6820966
Link To Document :
بازگشت