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Online energy conservation scheduling for geo-distributed data centers with hybrid data-driven and knowledge-driven approach

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  • Xue, Lin
  • Wang, Jianxue
  • Li, Haotian
  • Yong, Weizhen
  • Zhang, Yao

Abstract

With the surge in demand for cloud computing services, the problems of high operating cost of data center cluster (DCC) are becoming increasingly challenging, while the strong intermittency of renewable energy source and the randomness of interactive workload make DCC subject to the uncertainty of supply and demand. Therefore, how to maximize the economy of DCC and improve its renewable energy source accommodation rate during online scheduling is particularly important. Based on the spatial-temporal migration mechanism and the complementary distribution of renewable energy source in multiple regions, this paper maximizes the accommodation rate of renewable energy source and reduces the operating cost by flexibly migrating workload in DCC. Firstly, a DCC load balancing model is established and formulated into a deep reinforcement learning framework considering the coupling constraints of energy storage system and batch workload. Then, the advanced deep reinforcement learning TD3 algorithm is adopted for online schedule of DCC. Finally, to improve the convergence characteristics, the ITD3 algorithm is proposed in combination with the imitation learning Dagger algorithm, which achieves the transcendence of expert experience. Results using Google DCC data on the 33-nodes testing system show that the proposed ITD3 online scheduling method achieves near-optimal scheduling beyond expert experience, significantly reduces the operating cost through the spatial-temporal workload migration strategy, and realizes the coordinated scheduling of equipment in DCC.

Suggested Citation

  • Xue, Lin & Wang, Jianxue & Li, Haotian & Yong, Weizhen & Zhang, Yao, 2025. "Online energy conservation scheduling for geo-distributed data centers with hybrid data-driven and knowledge-driven approach," Energy, Elsevier, vol. 322(C).
    • Handle: RePEc:eee:energy:v:322:y:2025:i:c:s0360544225013568
    DOI: 10.1016/j.energy.2025.135714
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    References listed on IDEAS

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    1. Zhu, Yiqun & Zhang, Quan & Zeng, Liping & Wang, Jiaqiang & Zou, Sikai, 2024. "An advanced control strategy of hybrid cooling system with cold water storage system in data center," Energy, Elsevier, vol. 291(C).
    2. Chen, Sirui & Li, Peng & Ji, Haoran & Yu, Hao & Yan, Jinyue & Wu, Jianzhong & Wang, Chengshan, 2021. "Operational flexibility of active distribution networks with the potential from data centers," Applied Energy, Elsevier, vol. 293(C).
    3. Cao, Yujie & Cheng, Ming & Zhang, Sufang & Mao, Hongju & Wang, Peng & Li, Chao & Feng, Yihui & Ding, Zhaohao, 2022. "Data-driven flexibility assessment for internet data center towards periodic batch workloads," Applied Energy, Elsevier, vol. 324(C).
    4. Wang, Peng & Sun, Junqing & Yoon, Sungmin & Zhao, Liang & Liang, Ruobing, 2024. "A global optimization method for data center air conditioning water systems based on predictive optimization control," Energy, Elsevier, vol. 295(C).
    5. Jin, Chaoqiang & Bai, Xuelian & Yang, Chao & Mao, Wangxin & Xu, Xin, 2020. "A review of power consumption models of servers in data centers," Applied Energy, Elsevier, vol. 265(C).
    6. Wang, Zhiying & Wang, Yang & Ji, Haoran & Hasanien, Hany M. & Zhao, Jinli & Yu, Lei & He, Jiafeng & Yu, Hao & Li, Peng, 2024. "Distributionally robust planning for data center park considering operational economy and reliability," Energy, Elsevier, vol. 290(C).
    7. Han, Ouzhu & Ding, Tao & Yang, Miao & Jia, Wenhao & He, Xinran & Ma, Zhoujun, 2024. "A novel 4-level joint optimal dispatch for demand response of data centers with district autonomy realization," Applied Energy, Elsevier, vol. 358(C).
    8. Cho, Jinkyun & Park, Beungyong & Jang, Seungmin, 2022. "Development of an independent modular air containment system for high-density data centers: Experimental investigation of row-based cooling performance and PUE," Energy, Elsevier, vol. 258(C).
    9. Liu, Wenyu & Yan, Yuejun & Sun, Yimeng & Mao, Hongju & Cheng, Ming & Wang, Peng & Ding, Zhaohao, 2023. "Online job scheduling scheme for low-carbon data center operation: An information and energy nexus perspective," Applied Energy, Elsevier, vol. 338(C).
    10. Xiao, Jiang-Wen & Yang, Yan-Bing & Cui, Shichang & Wang, Yan-Wu, 2023. "Cooperative online schedule of interconnected data center microgrids with shared energy storage," Energy, Elsevier, vol. 285(C).
    11. Lu, Ruyuan & Li, Xin & Chen, Ronghao & Lei, Aimin & Ma, Xiaoming, 2024. "An Alternative Reinforcement Learning (ARL) control strategy for data center air-cooled HVAC systems," Energy, Elsevier, vol. 308(C).
    12. Wang, Can & Zhang, Jiaheng & Wang, Aoqi & Wang, Zhen & Yang, Nan & Zhao, Zhuoli & Lai, Chun Sing & Lai, Loi Lei, 2024. "Prioritized sum-tree experience replay TD3 DRL-based online energy management of a residential microgrid," Applied Energy, Elsevier, vol. 368(C).
    13. Lian, Yicheng & Li, Yuanzheng & Zhao, Yong & Yu, Chaofan & Zhao, Tianyang & Wu, Lei, 2023. "Robust multi-objective optimization for islanded data center microgrid operations," Applied Energy, Elsevier, vol. 330(PB).
    14. Mahbod, Muhammad Haiqal Bin & Chng, Chin Boon & Lee, Poh Seng & Chui, Chee Kong, 2022. "Energy saving evaluation of an energy efficient data center using a model-free reinforcement learning approach," Applied Energy, Elsevier, vol. 322(C).
    15. Li, Chao & Mao, Ruiyong & Wang, Yong & Zhang, Jun & Lan, Jiang & Zhang, Zujing, 2024. "Experimental study on direct evaporative cooling for free cooling of data centers," Energy, Elsevier, vol. 288(C).
    16. Cao, Yujie & Cao, Fang & Wang, Yajing & Wang, Jianxiao & Wu, Lei & Ding, Zhaohao, 2024. "Managing data center cluster as non-wire alternative: A case in balancing market," Applied Energy, Elsevier, vol. 360(C).
    17. Ren, Xiaoxiao & Han, Zijun & Ma, Jinpeng & Xue, Kai & Chong, Daotong & Wang, Jinshi & Yan, Junjie, 2024. "Life-cycle-based multi-objective optimal design and analysis of distributed multi-energy systems for data centers," Energy, Elsevier, vol. 288(C).
    18. Xue, Lin & Wang, Jianxue & Zhang, Yao & Yong, Weizhen & Qi, Jie & Li, Haotian, 2023. "Model-data-event based community integrated energy system low-carbon economic scheduling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    19. Xu, Da & Xiang, Shizhe & Bai, Ziyi & Wei, Juan & Gao, Menglu, 2023. "Optimal multi-energy portfolio towards zero carbon data center buildings in the presence of proactive demand response programs," Applied Energy, Elsevier, vol. 350(C).
    20. Guo, Caishan & Luo, Fengji & Cai, Zexiang & Dong, Zhao Yang & Zhang, Rui, 2021. "Integrated planning of internet data centers and battery energy storage systems in smart grids," Applied Energy, Elsevier, vol. 281(C).
    21. Liu, Xiaoou, 2024. "Research on collaborative scheduling of internet data center and regional integrated energy system based on electricity-heat-water coupling," Energy, Elsevier, vol. 292(C).
    22. Liang, Yaran & Li, Peng & Su, Wen & Li, Wei & Xu, Wei, 2024. "Development of green data center by configuring photovoltaic power generation and compressed air energy storage systems," Energy, Elsevier, vol. 292(C).
    23. Li, Xin & Chen, Hsing Hung & Tao, Xiangnan, 2016. "Pricing and capacity allocation in renewable energy," Applied Energy, Elsevier, vol. 179(C), pages 1097-1105.
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