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Capping the electricity cost of cloud-scale data centers with impacts on power markets

Published: 08 June 2011 Publication History

Abstract

In this paper, we propose a novel electricity cost capping algorithm that not only minimizes the electricity cost of operating cloud-scale data centers, but also enforces a cost budget on the monthly electricity bill. Our solution first explicitly models the impacts of power demands on electricity prices and the power consumption of cooling and networking in the minimization of electricity cost. In the second step, if the electricity cost exceeds a desired monthly budget due to unexpectedly high workloads, our solution guarantees the quality of service for premium customers and trades off the request throughput of ordinary customers. We formulate electricity cost capping as two related constrained optimization problems and propose an efficient algorithm based on mixed integer programming. Simulation results show that our solution outperforms the state-of-the-art solutions by having lower electricity costs and achieves desired cost capping with maximized request throughput.

References

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A. Qureshi et al., "Cutting the electric bill for internet-scale systems," in SIGCOMM, 2009.
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L. Rao et al., "Minimizing electricity cost: optimization of distributed internet data centers in a multi-electricity-market environment," in INFOCOM, 2010.
[3]
F. Li, "Continuous locational marginal pricing (CLMP)," IEEE Transactions on Power Systems, vol. 22, no. 4, 2007.
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A. Greenberg et al., "The cost of a cloud: research problems in data center networks," ACM SIGCOMM Computer Communication Review, vol. 39, no. 1, 2008.
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X. Wang et al., "SHIP: Scalable Hierarchical Power Control for Large-Scale Data Centers," in PACT, 2009.
[6]
F. Ahmad et al., "Joint optimization of idle and cooling power in data centers while maintaining response time," in ASPLOS, 2010.
[7]
"PJM Training Materials LMP 101, PJM," http://pjm.com.
[8]
Y. Zhang, Y. Wang, and X. Wang, "Electricity bill capping for cloud-scale data centers that impact the power markets, Tech Report, EECS, University of Tennessee," http://pacs.ece.utk.edu/TRcapping.pdf, 2011.

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  • (2024)Optimization Model and Optimal Strategy Simulation Study of Electricity Cost for Industrial and Commercial Users under New Electricity Price Policy2024 Boao New Power System International Forum - Power System and New Energy Technology Innovation Forum (NPSIF)10.1109/NPSIF64134.2024.10883422(847-853)Online publication date: 8-Dec-2024
  • (2024)A periodic requests dispatcher for energy optimization of hybrid powered data centersWireless Networks10.1007/s11276-021-02833-630:5(4025-4042)Online publication date: 1-Jul-2024
  • (2023)A Survey of FPGA Optimization Methods for Data Center Energy EfficiencyIEEE Transactions on Sustainable Computing10.1109/TSUSC.2023.32738528:3(343-362)Online publication date: 1-Jul-2023
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cover image ACM Conferences
HPDC '11: Proceedings of the 20th international symposium on High performance distributed computing
June 2011
296 pages
ISBN:9781450305525
DOI:10.1145/1996130

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 June 2011

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Author Tags

  1. cloud-scale data centers
  2. cost capping
  3. electricity cost

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Overall Acceptance Rate 166 of 966 submissions, 17%

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Cited By

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  • (2024)Optimization Model and Optimal Strategy Simulation Study of Electricity Cost for Industrial and Commercial Users under New Electricity Price Policy2024 Boao New Power System International Forum - Power System and New Energy Technology Innovation Forum (NPSIF)10.1109/NPSIF64134.2024.10883422(847-853)Online publication date: 8-Dec-2024
  • (2024)A periodic requests dispatcher for energy optimization of hybrid powered data centersWireless Networks10.1007/s11276-021-02833-630:5(4025-4042)Online publication date: 1-Jul-2024
  • (2023)A Survey of FPGA Optimization Methods for Data Center Energy EfficiencyIEEE Transactions on Sustainable Computing10.1109/TSUSC.2023.32738528:3(343-362)Online publication date: 1-Jul-2023
  • (2023)Optimal Dispatch Strategy of a Flexible Energy Aggregator Considering Virtual Energy StorageThe Proceedings of the 5th International Conference on Energy Storage and Intelligent Vehicles (ICEIV 2022)10.1007/978-981-99-1027-4_55(536-546)Online publication date: 11-May-2023
  • (2021)Cost Optimal Data Center Servers: A Voltage Scaling ApproachIEEE Transactions on Cloud Computing10.1109/TCC.2018.28448239:1(118-130)Online publication date: 1-Jan-2021
  • (2021)VM Placement in Accelerator-Equipped Data Centers Using Variable-Length Modified Genetic Algorithm2021 29th Iranian Conference on Electrical Engineering (ICEE)10.1109/ICEE52715.2021.9544500(562-567)Online publication date: 18-May-2021
  • (2018)CapNetACM Transactions on Sensor Networks10.1145/327862415:1(1-34)Online publication date: 15-Dec-2018
  • (2018)An adaptive allocation scheme for load balancing and SLA maintenance in multi-location data center networksNOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium10.1109/NOMS.2018.8406274(1-9)Online publication date: Apr-2018
  • (2017)Electricity Cost Minimization for Interruptible Workload in Datacenter ServersIEEE Transactions on Services Computing10.1109/TSC.2017.2759206(1-1)Online publication date: 2017
  • (2017)Reducing Data Center Energy Consumption Through Peak Shaving and Locked-In Energy AvoidanceIEEE Transactions on Green Communications and Networking10.1109/TGCN.2017.27446021:4(551-562)Online publication date: Dec-2017
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