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Abstract

Multi-tenant data center has become large energy consumers due to the increasingly popular cloud computing services. However, their efficiency is lower that of owner-operated data centers. This is due to the split incentives of the stakeholders, i.e., the operator and its tenants, are not aligned. This part of the book explains the motivations, issues, and challenges. Then, it surveys the formulated problems and corresponding proposed solutions.

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References

  1. Islam, M., Ren, S., & Wang, X. (2014, November). GreenColo: A novel incentive mechanism for minimizing carbon footprint in colocation data center. In International green computing conference, (IGCC) (pp. 1–8). [Online]. Available: http://goo.gl/f9nr8F.

  2. Islam, M., Mahmud, H., Ren, S., & Wang, X. (2015, February). Paying to save: Reducing cost of colocation data center via rewards. In IEEE 21st international symposium on high performance computer architecture, (HPCA) (pp. 235–245). [Online]. Available: http://goo.gl/G6zoeJ.

  3. Zhang, L., Li, Z., Wu, C., & Ren, S. (2015, December). Online electricity cost saving algorithms for co-location data centers. IEEE Journal on Selected Areas in Communications, 33(12), 2906–2919. [Online]. Available: http://goo.gl/45QUdf.

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Oo, T.Z., Tran, N.H., Ren, S., Hong, C.S. (2018). System Model. In: A Survey on Coordinated Power Management in Multi-Tenant Data Centers. Springer, Cham. https://doi.org/10.1007/978-3-319-66062-2_4

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  • DOI: https://doi.org/10.1007/978-3-319-66062-2_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66061-5

  • Online ISBN: 978-3-319-66062-2

  • eBook Packages: EngineeringEngineering (R0)

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