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Green scheduling for LLM workloads with model and data reuse across geo-distributed data centers

Hao Liu Xiaonyu Hu Ran Wang Jie Hao Qiang Wu Hongke Zhang

数字通信与网络（英文）2026，Vol.12Issue(2)：236-251,16.

数字通信与网络（英文）2026，Vol.12Issue(2)：236-251,16.DOI:10.1016/j.dcan.2025.11.006

Green scheduling for LLM workloads with model and data reuse across geo-distributed data centers

Hao Liu ¹Xiaonyu Hu ²Ran Wang ³Jie Hao ¹Qiang Wu ⁴Hongke Zhang⁵

作者信息

1. College of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics,210016,Nanjing,China||Collaborative Innovation Center of Novel Software Technology and Industrialization,210016,Nanjing,China
2. China Institute of Communications,100029,Beijing,China
3. College of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics,210016,Nanjing,China||College of Computer and Data Science,Fuzhou University,350108,Fuzhou,China||Collaborative Innovation Center of Novel Software Technology and Industrialization,210016,Nanjing,China
4. College of Computer Science and Technology,Zhejiang University,310058,Hangzhou,China
5. School of Electronic and Information Engineering,Beijing Jiaotong University,100044,Beijing,China||National Engineering Research Center for Mobile Private Networks,100044,Beijing,China
折叠

摘要

关键词

Large language model/Geographically distributed data center/Green communication/Task scheduling/Multi-agent reinforcement learning

Key words

Large language model/Geographically distributed data center/Green communication/Task scheduling/Multi-agent reinforcement learning

引用本文复制引用

Hao Liu,Xiaonyu Hu,Ran Wang,Jie Hao,Qiang Wu,Hongke Zhang..Green scheduling for LLM workloads with model and data reuse across geo-distributed data centers[J].数字通信与网络（英文）,2026,12(2):236-251,16.

基金项目

This work was supported in part by the 2024 National Society Project for Supporting National Strategies,under the program titled"Key Tech-nology Roadmap for AI-Oriented Computing Power Networks". （）

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