• DocumentCode
    1656462
  • Title

    Hybrid Power Control and Electricity Cost Management for Distributed Internet Data Centers in Cloud Computing

  • Author

    Hui Dou ; Yong Qi ; Peijian Wang

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Xi´an Jiaotong Univ., Xi´an, China
  • fYear
    2013
  • Firstpage
    394
  • Lastpage
    399
  • Abstract
    Along with the increasing Internet services and cloud computing in recent years, more and more data and computation are migrated to or hosted on the Internet data centers (IDCs). Meanwhile, the energy consumed by IDCs has been skyrocketing. Such mass power consumption has brought extremely heavy burden on cloud providers. While most of the previous work focuses on reducing energy consumption, this paper addresses the electricity cost minimization problem. Since the electricity prices exhibit time and location diversities in many countries, we can take the advantage of these diversities to save on operation cost. Further, we exploit server-level power control scheme to effective reduce the power consumption. We formulate the total cost minimization as a non-linear optimization problem. Then we design a heuristic algorithm to efficiently solve the problem. Extensive evaluations show that our algorithm can obviously reduce the electricity cost.
  • Keywords
    cloud computing; computer centres; minimisation; nonlinear programming; power aware computing; IDC; Internet data centers; Internet services; cloud computing; cloud providers; distributed Internet data centers; electricity cost management; electricity cost minimization problem; electricity cost reduction; electricity prices; energy consumption; heuristic algorithm design; hybrid power control; location diversities; mass power consumption; nonlinear optimization problem; operation cost saving; power consumption reduction; server-level power control scheme; time diversities; total cost minimization; Electricity; Electricity supply industry; Heuristic algorithms; Minimization; Optimization; Power demand; Servers; Cloud Computing; Electricity Cost Minimization; Internet Data Centers; Power Management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Information System and Application Conference (WISA), 2013 10th
  • Conference_Location
    Yangzhou
  • Print_ISBN
    978-1-4799-3218-4
  • Type

    conf

  • DOI
    10.1109/WISA.2013.81
  • Filename
    6778672