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Total cost ownership optimization of private clouds: a rack minimization perspective

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Abstract

With the development of network infrastructure, a large volume of data will be exchanged with increased bandwidth. Many applications are connecting people to the rest of the world through the public network. Thus, privacy and security have become a concern. Under this circumstance, it becomes a trend that the enterprises tend to host their data and services on private clouds dedicated to their own use, rather than the public cloud services. However, in contrary to the well-investigated total cost of ownership (TCO) for public clouds, the analytic research on the cost of purchase and operation for private clouds is still a blank. In this work, we first review the state-of-the-art TCO literature to summarize the models, tools, and cost optimization techniques for public clouds. Based on our survey, we envision the TCO modeling and optimization for private clouds by comparing the differences of features between public and private clouds. Finally, we propose a heuristic algorithm, conflict-aware first-fit to optimize the total cost of ownership of private cloud by minimizing the number of racks when deploying servers.

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Authors and Affiliations

  1. Alibaba Group, Beijing, China

    Yuanfang Chi, Yuan Fan & Jun Ruan

  2. The Chinese University of Hong Kong, Shenzhen, China

    Wei Dai, Kai Hwang & Wei Cai

  3. Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China

    Wei Dai, Kai Hwang & Wei Cai

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  1. Yuanfang Chi
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  2. Wei Dai
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  3. Yuan Fan
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Correspondence to Wei Cai.

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This paper was presented in part at EAI 6GN 2020: 3rd EAI International Conference on 6G for Future Wireless Network, Tianjin, China, Aug. 2020. The manuscript extends to demonstrate a cost model for the private cloud and a heuristic solution for the rack minimization problem to optimize the total cost of the private cloud.

This work was supported by Project 61902333 supported by National Natural Science Foundation of China, by the Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS).

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Chi, Y., Dai, W., Fan, Y. et al. Total cost ownership optimization of private clouds: a rack minimization perspective. Wireless Netw (2021). https://doi.org/10.1007/s11276-021-02757-1

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