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Carbon-Aware Energy Cost Minimization for Internet Data Centers

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Energy Management of Internet Data Centers in Smart Grid

Part of the book series: Green Energy and Technology ((GREEN))

Abstract

In Internet data center operations, the operators are faced with high energy cost and carbon emission. Moreover, for socially responsible Internet data center operators, they are expected to minimize energy cost and carbon emission simultaneously. Since smart microgrids have many advantages in supporting the operations of Internet data centers (e.g., low electricity distribution loss, high utilization ratio in renewable energy), we consider the problem of minimizing the long-term weighted summation of energy cost and carbon emission for Internet data center operators in smart microgrids. To achieve the above aim, we propose an efficient operation algorithm considering the uncertainties in renewable generation output, electricity price, workload, and carbon emission rate.

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Notes

  1. 1.

    Here, a simple SLA is adopted as in [26]. Other more complicated SLAs would be considered in future work.

  2. 2.

    For fast-responding diesel generators, its minimum on/off periods could be regarded as zero and ramping-up/-down rate could be assumed to be \(\infty \) [30]. Thus, some constraints about minimum on/off periods and ramping-up/-down rate are neglected. In addition, due to the lack of public knowledge about start-up cost of diesel generators, we also neglect such cost. More realistic generation cost models would be considered in future work.

  3. 3.

    http://www.vestas.com/en/wind-power-plants/, Sept. 2013.

  4. 4.

    E.g., the average workload is smaller than 2 million requests/h, while the average workload of Google search is 121 million requests/h.

References

  1. Qureshi A, Weber R, Balakrishnan H, Guttag J, Maggs B (2009) Cutting the electric bill for internet-scale systems. In: Proceedings of ACM special interest group on data communication (SIGCOMM)

    Google Scholar 

  2. Gao PX, Curtis AR, Wong B, Keshav S (2012) It’s not easy being green. In: Proceedings of ACM special interest group on data communication (SIGCOMM)

    Google Scholar 

  3. http://smartgrid.ieee.org/ieee-smart-grid. Accessed 23 Sept 2013

  4. Miorandi D, Sicari S, Pellegrini FD, Chlamtac I (2012) Internet of things: vision, applications and research challenges. Adhoc Netw 10:1497–1516

    Google Scholar 

  5. Wang Y, Mao S, Nelms RM (2014) Distributed online algorithm for optimal real-time energy distribution in the smart grid. IEEE Internet Things J 1(1):70–80

    Article  Google Scholar 

  6. Stankovic JA (2014) Research directions for the internet of things. IEEE Internet Things J 1(1):3–9

    Article  Google Scholar 

  7. Zanella A, Bui N, Castellani A, Vangelista L, Zorzi M (2014) Internet of things for smart cities. IEEE Internet Things J. doi:10.1109/JIOT.2014.2306328

  8. Erol-Kantarci M, Kantarci B, Mouftah HT (2011) Reliable overlay topology design for the smart microgrid network. IEEE Netw 25(5):38–43

    Article  Google Scholar 

  9. Cao Y, Jiang T, Zhang Q (2012) Reducing electricity cost of smart appliances via energy buffering framework in smart grid. IEEE Trans Parallel Distrib Syst 23(9):1572–1582

    Article  Google Scholar 

  10. Salomonsson D, Soder L, Sannino A (2008) An adaptive control system for a DC microgrid for data centers. IEEE Trans Ind Appl 44(6):1910–1917

    Article  Google Scholar 

  11. Deng W, Liu F, Jin H, Wu C (2013) SmartDPSS: cost-minimizing multi-source power supply for datacenters with arbitrary demand. In: Proceedings of IEEE international conference on distributed computing systems (ICDCS)

    Google Scholar 

  12. Stamp J, McIntyre A, Ricardson B (2009) Reliability impacts from cyber attack on electric power systems. In: Proceedings of power systems conference and exposition (PSCE)

    Google Scholar 

  13. Yu L, Jiang T, Cao Y (2014) Energy cost minimization for distributed internet data centers in smart microgrids considering power outages. IEEE Trans Parallel Distrib Syst. doi:10.1109/TPDS.2014.2308223

  14. Guo Y, Fang Y (2013) Electricity cost saving strategy in data centers by using energy storage. IEEE Trans Parallel Distrib Syst 24(6):1149–1160

    Article  Google Scholar 

  15. Urgaonkar R, Urgaonkar B, Neely MJ, Sivasubramaniam A (2011) Optimal power cost management using stored energy in data centers. In: Proceedings of ACM special interest group on measurement and evaluation (SIGMETRICS)

    Google Scholar 

  16. Yao Y, Huang L, Sharma A, Golubchik L, Neely M (2013) Power cost reduction in distributed data centers: a two time scale approach for delay tolerant workloads. IEEE Trans Parallel Distrib Syst 25(1):200–211

    Google Scholar 

  17. Yu L, Jiang T, Cao Y, Zhang Q (2014) Risk-constrained operation for distributed internet data centers in deregulated electricity markets. IEEE Trans Parallel Distrib Syst 25(5):1306–1316

    Article  Google Scholar 

  18. Yu L, Jiang T, Cao Y, Wu J (2013) Risk-constrained operation for internet data centers under smart grid environment. In: Proceedings of IEEE wireless communications and signal process (WCSP)

    Google Scholar 

  19. Liu Z, Lin M, Wierman A, Low SH, Andrew LLH (2011) Greening geographic load balancing. In: Proceedings of ACM special interest group on measurement and evaluation (SIGMETRICS)

    Google Scholar 

  20. Zhou Z, Liu F, Xu Y, Zou R, Xu H, Lui JCS, Jin H (2013) Carbon-aware load balancing for geo-distributed cloud services. In: Proceedings of IEEE international symposium on modelling, analysis, and simulation of computer and telecommunication systems (MASCOTS)

    Google Scholar 

  21. IEEE Std 493–2007 (2007) IEEE recommended practice for the design of reliable industrial and commercial power systems

    Google Scholar 

  22. Rao L, Liu X, Xie L, Liu W (2012) Coordinated energy cost management of distributed internet data centers in smart grid. IEEE Trans Smart Grid 3(1):50–58

    Article  Google Scholar 

  23. Li J, Li Z, Ren K, Liu X, Su H (2011) Towards optimal electric demand management for internet data centers. IEEE Trans Smart Grid 2(4):1–9

    Article  Google Scholar 

  24. Gandhi A, Chen Y, Gmach D, Arlitt M, Marwah M (2011) Minimizing data center SLA violations and power consumption via hybrid resource provisioning. HPL-2011-81

    Google Scholar 

  25. Rao L, Liu X, Xie L, Liu W (2010) Minimizing electricity cost: optimization of distributed internet data centers in a multi-electricity market environment. In: Proceedings of IEEE international conference on computer communications (INFOCOM)

    Google Scholar 

  26. Chen Y, Das A, Qin W, Sivasubramaniam A, Wang Q, Gautam N (2005) Managing server energy and operational costs in hosting centers. In: Proceedings of ACM special interest group on measurement and evaluation (SIGMETRICS)

    Google Scholar 

  27. Damousis IG, Alexiadis MC, Theocharis JB, Dokopoulos PS (2004) A fuzzy model for wind speed prediction and power generation in wind parks using spatial correlation. IEEE Trans Energy Convers 19(2):352–361

    Article  Google Scholar 

  28. Carrión M, Philpott AB, Conejo AJ, Arroyo JM (2007) A stochastic programming approach to electric energy procurement for large consumers. IEEE Trans Power Syst 22(2):744–754

    Article  Google Scholar 

  29. Palma-Behnke R, Benavides C, Lanas F et al (2013) A microgrid energy management system based on the rolling horizon strategy. IEEE Trans Smart Grid 4(2):996–1006

    Article  Google Scholar 

  30. Lu L (2013) Online energy generation scheduling for microgrids with intermittent energy sources and co-generation. The Chinese University of Hong Kong, Hong Kong

    Google Scholar 

  31. Huang Y, Mao S, Nelms RM (2014) Adaptive electricity scheduling in microgrids. IEEE Trans Smart Grid 5(1):270–281

    Article  Google Scholar 

  32. National Renewable Energy Laboratorary (2012) Variance analysis of wind and natural gas generation under different market structures: some observations

    Google Scholar 

  33. Gao Y, Zeng Z, Liu X, Kumar PR (2013) The answer is blowing in the wind analysis of powering internet data centers with wind energy. In: Proceedings of IEEE international conference on computer communications (INFOCOM)

    Google Scholar 

  34. Neely MJ (2010) Stochastic network optimization with application to communication and queueing systems. Morgan & Claypool, San Rafael

    MATH  Google Scholar 

  35. Costa AM (2005) A survey on benders decomposition applied to fixed-charge network design problems. Comput Oper Res 32(6):1429–1450

    Article  MathSciNet  Google Scholar 

  36. Diesel Generators. Available via DIALOG. http://www.gopower.com/documents/docs/1330368575.pdf. Accessed 23 Sept 2013

  37. http://generatorjoe.net/html/fueluse.asp. Accessed 23 Sept 2013

  38. Zhang Y, Gatsis N, Giannakis GB (2012) Robust management of distributed energy resources for microgrids with renewables. In: Proceedings of IEEE international conference on smart grid communications (SmartGridComm)

    Google Scholar 

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Jiang, T., Yu, L., Cao, Y. (2015). Carbon-Aware Energy Cost Minimization for Internet Data Centers. In: Energy Management of Internet Data Centers in Smart Grid. Green Energy and Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45676-7_3

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  • DOI: https://doi.org/10.1007/978-3-662-45676-7_3

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45675-0

  • Online ISBN: 978-3-662-45676-7

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