Storage resource scheduling optimization method for separated data center based on deep reinforcement learning
Papers|更新时间:2025-09-23
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Storage resource scheduling optimization method for separated data center based on deep reinforcement learning
Journal on CommunicationsVol. 46, Issue 8, Pages: 1-15(2025)
作者机构:
1.北京邮电大学网络与交换技术全国重点实验室,北京 100876
2.中国电力科学研究院有限公司,北京 100192
3.国网北京市电力公司,北京 100031
4.魁北克大学高等技术学院,蒙特利尔 QC G1K 9H7
作者简介:
基金信息:
The National Natural Science Foundation of China(62322103);The Fundamental Research Funds for Central Universities(2023ZCTH11);The Natural Science Foundation of Beijing(4232009)
YUAN Zhengli,GUO Shaoyong,HU Xin,et al.Storage resource scheduling optimization method for separated data center based on deep reinforcement learning[J].Journal on Communications,2025,46(08):1-15.
YUAN Zhengli,GUO Shaoyong,HU Xin,et al.Storage resource scheduling optimization method for separated data center based on deep reinforcement learning[J].Journal on Communications,2025,46(08):1-15. DOI: 10.11959/j.issn.1000-436x.2025135.
Storage resource scheduling optimization method for separated data center based on deep reinforcement learning