• DocumentCode
    3762241
  • Title

    Coordinated energy management for colocation data centers in smart grids

  • Author

    Yuanxiong Guo;Miao Pan

  • Author_Institution
    School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK 74078 USA
  • fYear
    2015
  • Firstpage
    840
  • Lastpage
    845
  • Abstract
    Colocation data center is an important type of data centers that has some unique challenges in managing its energy consumption. Tenants in a colocation data center usually manage their servers independently without coordination, leading to inefficiency. To address this issue, we propose a formulation of coordinated energy management for colocation data centers. We formulate it as a large-scale optimization problem, and then develop a novel decentralized algorithm to solve it efficiently. Our algorithm is based on the alternating direction method of multipliers (ADMM) which converges to the global optimal solution within tens of iterations and is insensitive to step size. Extensive numerical evaluations based on real-world traces are conducted to show the performance of our algorithm.
  • Keywords
    "Servers","Smart grids","Energy management","Cooling","Energy consumption","Power demand","Linear programming"
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Communications (SmartGridComm), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/SmartGridComm.2015.7436406
  • Filename
    7436406