Data center demand response: Avoiding the coincident peak via workload shifting and local generation

Performance Evaluation Review

Volumn 41, Issue 1 SPEC. ISS., 2013, Pages 341-342

  Liu, Zhenhua ^a   Wierman, Adam ^a   Chen, Yuan ^b   Razon, Benjamin ^a   Chen, Niangjun ^a  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^b HEWLETT PACKARD LABORATORIES   (United States)

Author keywords

Coincident peak pricing; Data center; Demand response; Online algorithm; Workload shifting

Indexed keywords

CHARACTERIZATION STUDIES; DATA CENTERS; DEMAND RESPONSE; ENERGY EXPENDITURE; INDUSTRIAL FACILITIES; ON-LINE ALGORITHMS; RENEWABLE ENERGIES; WORKLOAD SHIFTING; WORK-LOAD SHIFTING;

ALGORITHMS; COMPUTER SYSTEMS; COSTS; ECONOMICS; ENERGY UTILIZATION;

DATA REDUCTION;

EID: 84880209768     PISSN: 01635999     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2494232.2465740     Document Type: Conference Paper

References (7)

1. Z. Liu, A. Wierman, Y. Chen, B. Razon, and N. Chen, "Data center demand response: Avoiding the coincident peak via workload shifting and local generation [technical report],"
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3. Department of Energy, "The smart grid: An introduction."
4. Federal Energy Regulatory Commission, "National assessment of demand response potential." 2009.
5. NY Times, "Power, Pollution and the Internet."
6. G. Ghatikar, V. Ganti, N. Matson, and M. Piette, "Demand response opportunities and enabling technologies for data centers: Findings from field studies," 2012.
7. J. Koomey, "Growth in data center electricity use 2005 to 2010," Oakland, CA: Analytics Press. August, vol. 1, p. 2010, 2011.