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A periodic requests dispatcher for energy optimization of hybrid powered data centers

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Abstract

To face with the surge of cloud computing services, energy problem and carbon mission constraint, more and more geo-distributed hybrid powered data centers are build over the world. Geo-distributed hybrid powered data centers are located in different locations equipped with different types of green energy source. In this work, we propose a periodic requests dispatcher, including a periodic model and a spatial balance algorithm, to minimize the brown energy use. The periodic model divides the long-term period into several time slots, and the spatial balance algorithm achieves energy optimization by balancing user requests in each time slot. Besides, a research case is simulated by Cloudsim platform. We conduct several comparative analysis in aspect of energy utilization, electricity cost and carbon emission. The experiment results show that the dispatcher can effectively reduce the electricity cost, and reasonably achieve the request distribution balance in geo-distributed hybrid powered data centers.

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Acknowledgements

This research is supported by the Natural Science Foundation of Liaoning Province(2020-BS-054) and Fundamental Research Funds for the Central Universities ( N2017005).

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Authors and Affiliations

  1. Software College, Northeastern University, No.195, Chuangxin Road, Hunnan District, Shenyang, 110169, Liaoning, China

    Chaopeng Guo, Gujun Lu, Chao Xu & Jie Song

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  1. Chaopeng Guo
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  2. Gujun Lu
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Correspondence to Jie Song.

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Guo, C., Lu, G., Xu, C. et al. A periodic requests dispatcher for energy optimization of hybrid powered data centers. Wireless Netw 30, 4025–4042 (2024). https://doi.org/10.1007/s11276-021-02833-6

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