• DocumentCode
    602588
  • Title

    Enabling distributed generation powered sustainable high-performance data center

  • Author

    Chao Li ; Ruijin Zhou ; Tao Li

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Florida, Gainesville, FL, USA
  • fYear
    2013
  • fDate
    23-27 Feb. 2013
  • Firstpage
    35
  • Lastpage
    46
  • Abstract
    The necessity for capping carbon emission has significantly restricted the potential of modern data centers. For this matter, both industry and academia are proactively seeking opportunities on cross-layer power management schemes that could open a door for sustainable high-performance computing platform. In this paper we investigate an emerging trend in the IT industry: using promising onsite distributed generation (DG) techniques to provide premium clean energy to the computing load. We develop data center power demand shaping (PDS), a novel technique that allows data centers to utilize onsite green energy efficiently. In contrast to prior design, PDS takes advantage of a so-far unexplored power supply feature, i.e., the load following capabilities of DG systems to avoid the high performance penalty issue incurred during supply tracking. In addition, PDS features two adaptive power management schemes: DGR Boost and UPS Boost. These two workload-aware optimization methods leverage mature computer tuning knobs to achieve attractive data center performance improvement. Using real-world data center traces and industry data of distributed generation systems, we show that our technique can come within 1.2% performance of an ideal oracle, which is roughly a 37% improvement over existing supply tracking based design. Our design could save over 100 metric tons of carbon emissions annually for a 10MW data center.
  • Keywords
    computer centres; distributed power generation; parallel processing; pollution; power aware computing; sustainable development; DGR boost; IT industry; PDS; UPS boost; adaptive power management schemes; carbon emission capping; clean energy; computer tuning knobs; computing load; cross-layer power management schemes; data center performance improvement; data center power demand shaping; distributed generation powered sustainable high-performance data center; onsite distributed generation techniques; onsite green energy utilization; power 10 MW; real-world data center traces; sustainable high-performance computing platform; workload-aware optimization methods; Batteries; Discharges (electric); Distributed databases; Distributed power generation; Microgrids; Power demand;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computer Architecture (HPCA2013), 2013 IEEE 19th International Symposium on
  • Conference_Location
    Shenzhen
  • ISSN
    1530-0897
  • Print_ISBN
    978-1-4673-5585-8
  • Type

    conf

  • DOI
    10.1109/HPCA.2013.6522305
  • Filename
    6522305