Toward a systematic survey for carbon neutral data centers

Z Cao, X Zhou, H Hu, Z Wang… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Data centers are experiencing unprecedented growth as the fourth industrial revolution's
supporting pillars and the engine for the future digitalized world. However, data centers are …

Towards joint optimization over ICT and cooling systems in data centre: A survey

W Zhang, Y Wen, YW Wong, KC Toh… - … Surveys & Tutorials, 2016 - ieeexplore.ieee.org
Effective management of ICT (information and communications technology) and cooling is
critical in modern data centres for high energy efficiency. This survey paper gives an …

A gray-box model for real-time transient temperature predictions in data centers

S Asgari, SM MirhoseiniNejad… - Applied Thermal …, 2021 - Elsevier
In response to the need to improve the energy efficiency of data centers (DCs), system
designers now incorporate solutions such as continuous performance monitoring …

An open-source and experimentally guided CFD strategy for predicting air distribution in data centers with air-cooling

W Liu, S Lian, X Fang, Z Shang, H Wu, H Zhu… - Building and …, 2023 - Elsevier
Data centers are generally over cooled to ensure the trouble free running. In a data center
with air-cooling, it is crucial to investigate the air distribution and temperature field to aid the …

Thermal-aware scheduling of batch jobs in geographically distributed data centers

M Polverini, A Cianfrani, S Ren… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
Decreasing the soaring energy cost is imperative in large data centers. Meanwhile, limited
computational resources need to be fairly allocated among different organizations. Latency …

Hybrid surrogate model for online temperature and pressure predictions in data centers

S Asgari, H Moazamigoodarzi, PJ Tsai, S Pal… - Future Generation …, 2021 - Elsevier
The increase in cloud computing and big data storage has led to significant growth in data
center (DC) infrastructure that is now estimated to consume more than 1.5% of the world's …

Adaptive control algorithm with a retraining technique to predict the optimal amount of chilled water in a data center cooling system

BR Park, YJ Choi, EJ Choi, JW Moon - Journal of Building Engineering, 2022 - Elsevier
We developed control algorithms based on one of three artificial-intelligence-based
retraining techniques (sliding window, vector adaptation, and vector augmentation) to …

Efficient compute-intensive job allocation in data centers via deep reinforcement learning

D Yi, X Zhou, Y Wen, R Tan - IEEE Transactions on Parallel …, 2020 - ieeexplore.ieee.org
Reducing the energy consumption of the servers in a data center via proper job allocation is
desirable. Existing advanced job allocation algorithms, based on constrained optimization …

Toward efficient compute-intensive job allocation for green data centers: A deep reinforcement learning approach

D Yi, X Zhou, Y Wen, R Tan - 2019 IEEE 39th International …, 2019 - ieeexplore.ieee.org
Reducing the energy consumption of the servers in a data center via proper job allocation is
desirable. Existing advanced job allocation algorithms, based on constrained optimization …

A hyperparameter optimization algorithm for the LSTM temperature prediction model in data center

S Wang, C Ma, Y Xu, J Wang, W Wu - Scientific Programming, 2022 - Wiley Online Library
As the main tool to realize data mining and efficient knowledge acquisition in the era of big
data, machine learning is widely used in data center energy‐saving research. The …