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FLAPS: fluctuation-aware power auction strategy for reducing the power overload probability

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Conclusion

In this paper, we propose a Fluctuation-Aware Power Auction Strategy (FLAPS), which aims to reduce power usage overload. FLAPS identifies previously overlooked job power usage fluctuations and variances. FLAPS achieves an average reduction in power overload of 9%–10% compared to state-of-the-art algorithms, while maintaining a resource utilization rate difference of less than 2.8%.

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Acknowledgements

We appreciate FCS reviewers for their valuable feedback and suggestions. This work was partially sponsored by the National Key Research and Development Program of China (2022YFB4501402) and the National Natural Science Foundation of China (Grant Nos. 62232011, 62302302, 61832006).

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Correspondence to Han Zhao.

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Competing interests The authors declare that they have no competing interests or financial conflicts to disclose.

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Electronic supplementary material Supplementary material is available in the online version of this article at journal.hep.com.cn and link.springer.com.

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Cai, X., Zhao, H., Hou, X. et al. FLAPS: fluctuation-aware power auction strategy for reducing the power overload probability. Front. Comput. Sci. 19, 195108 (2025). https://doi.org/10.1007/s11704-024-40184-5

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  • DOI: https://doi.org/10.1007/s11704-024-40184-5