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Energy Cost Minimization for Internet Data Centers Considering Power Outages

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Energy Management of Internet Data Centers in Smart Grid

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

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Abstract

With the adoption of smart grid, some cyber-related vulnerabilities may also be introduced. When cyber attacks are launched, the power grid may become unstable and ultimately power outages may occur. In this situation, backup generators would be scheduled to support the operation of Internet data centers. Since the generation cost of backup generators are far higher than the average price of electricity in main grids, higher energy cost for Internet data center operators would be incurred. When power outages caused by cyber attacks occur frequently, the increased energy cost of Internet data center operators would be very large. Thus, it is necessary to consider the operation of Internet data centers in power outage environment. Since Internet data center operators can reduce energy cost by fully utilizing the spatial and temporal diversities of renewable energy in smart microgrids when there are power outages, we consider a scenario that running Internet data centers in smart microgrids and propose an efficient algorithm to minimize the long-term energy cost.

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Notes

  1. 1.

    Here, a simple SLA is adopted as in [26]. Other more complicated SLAs could also be incorporated.

  2. 2.

    For 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 startup cost of diesel generators, we also neglect such cost.

  3. 3.

    http://www.nrel.gov/midc, Sept. 2013.

  4. 4.

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

  5. 5.

    http://ita.ee.lbl.gov/html/traces.html, Sept. 2013.

  6. 6.

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

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Authors and Affiliations

  1. Huazhong University of Science and Technology, Wuhan, China

    Tao Jiang & Yang Cao

  2. Nanjing University of Posts and Telecommunications, Nanjing, China

    Liang Yu

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  1. Tao Jiang
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  2. Liang Yu
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  3. Yang Cao
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Correspondence to Tao Jiang .

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Jiang, T., Yu, L., Cao, Y. (2015). Energy Cost Minimization for Internet Data Centers Considering Power Outages. 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_2

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  • DOI: https://doi.org/10.1007/978-3-662-45676-7_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45675-0

  • Online ISBN: 978-3-662-45676-7

  • eBook Packages: EnergyEnergy (R0)

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