• 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