Penglei Song

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Active since

2020

Affiliations

Capital Normal University(Current)

Chinese Academy of Sciences

University of Chinese Academy of Sciences

Institute of Computing Technology

Penglei Song is an author at Capital Normal University specializing in deep reinforcement learning, resource scheduling, and energy-efficient cloud computing.

Publications per year

2020–2021

Publications

Cooperatively Improving Data Center Energy Efficiency Based on Multi-Agent Deep Reinforcement Learning

Ce Chi, Kaixuan Ji, Penglei Song et al. · Energies · 2021 · 38 citations · Full text

Computing, Computer Science, Distributed Systems +16

Jointly Optimizing the IT and Cooling Systems for Data Center Energy Efficiency based on Multi-Agent Deep Reinforcement Learning

Ce Chi, Kaixuan Ji, Avinab Marahatta et al. · 2020 · 24 citations

Computing, Computer Engineering, Computer Science +16

Prediction of Battlefield Target Trajectory Based on LSTM

Yan Zhu, Jieling Liu, Cao Guo et al. · 2020 · 14 citations

Computing, Data Science, Forecasting +16

A Deep Reinforcement Learning-based Task Scheduling Algorithm for Energy Efficiency in Data Centers

Penglei Song, Ce Chi, Kaixuan Ji et al. · 2021 · 12 citations

Management, Cloud Computing, Energy Management +13

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