GreenDRL: managing green datacenters using deep reinforcement learning.

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managing green datacenters using deep reinforcement learning

Dec 31, 2021 · We design and evaluate GreenDRL, a system that combines a deep RL agent with simple heuristics to manage workload, energy consumption, and ...

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GreenDRL | Proceedings of the 13th Symposium on Cloud Computing

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Nov 7, 2022 · In this work, we explore the use of deep reinforcement learning (RL) to manage "green" datacenters, bringing a robust approach for designing ...

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Managing Green Datacenters Using Deep Reinforcement Learning

www.researchwithrutgers.com › greendrl...

Nov 7, 2022 · We design and evaluate GreenDRL, a system that combines a deep RL agent with simple heuristics to manage workload, energy consumption, and ...

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[PDF] SibylOpt: Managing Green Data Centers Using Off-Online Deep ...

hpdc.sci.utah.edu › posters › nguyen

Managing green DCs is challenging. Deep reinforcement learning (DRL) offers robust approach to optimize management policy for specific workload and. DC ...

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managing green datacenters using deep reinforcement learning

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Nov 11, 2022 · Under a variety of environmental conditions, GreenDRL reduces consumption of brown grid electricity by 32–54% compared to a baseline FIFO ...

managing green datacenters using deep reinforcement learning

www.researchgate.net › publication › 36...

DRL has been applied to optimize workload scheduling in DCs, improving energy efficiency (19; 18; 20; 40). One approach, GreenDRL, uses DRL for CAS, ...

Deep Reinforcement Learning based Green Resource Allocation ...

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Although Deep Reinforcement Learning (DRL) has been applied to many of the work related to edge networks, there lacks the applications for green resource ...

Deep Reinforcement Learning for Real-Time Green Energy ... - arXiv

arxiv.org › cs

Jul 24, 2025 · This paper explores the implementation of a Deep Reinforcement Learning (DRL)-optimized energy management system for e-commerce data centers, ...

managing green datacenters using deep reinforcement learning - PuntoQ

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We design and evaluate GreenDRL, a system that combines a deep RL agent with simple heuristics to manage workload, energy consumption, and cooling in the ...

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Reinforcement learning for data center energy efficiency optimization

www.sciencedirect.com › article › pii

Jul 1, 2025 · In this systematic review, we explore the application of RL/DRL algorithms for optimizing data center energy efficiency.