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Trusted cloud computing platform poly source big data time sequence scheduling algorithm
更新时间：2025-05-26

    • Trusted cloud computing platform poly source big data time sequence scheduling algorithm

    • “In the field of multi-source big data time series scheduling on trusted cloud computing platforms, experts have proposed a new algorithm that effectively reduces energy consumption and operating costs, improves data utilization, and opens up new directions for research in this field.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 11, Pages: 3194-3200(2023)
    • 作者机构：

      1.东北石油大学 计算机与信息技术学院，黑龙江 大庆 163318

      2.东北石油大学 “油气藏及地下储库完整性评价”黑龙江省重点实验室，黑龙江 大庆 163318

    • DOI：10.13229/j.cnki.jdxbgxb.20220886    

      CLC： TP39

    • Received：13 July 2022，

      Published：01 November 2023

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  • DU Rui-shan,CHEN Yu-xin,MENG Ling-dong.Trusted cloud computing platform poly source big data time sequence scheduling algorithm[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(11):3194-3200. DOI： 10.13229/j.cnki.jdxbgxb.20220886.

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