Explicitly Consider Server-Attached Fans for Thermal Modeling in Edge Data Centers
Author:
Affiliation:
1. Alibaba Cloud Computing Co. Ltd., Hangzhou, China
Funder
the National Key Research and Development Program of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3396851.3402921
Reference23 articles.
1. Artificial Neural Network Based Prediction of Temperature and Flow Profile in Data Centers
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3. David Cole. 2011. Data center energy efficiency-looking beyond pue. No Limits Software White Paper 4(2011). David Cole. 2011. Data center energy efficiency-looking beyond pue. No Limits Software White Paper 4(2011).
4. Katsaros Dimitrios etal 2008. CDNs content outsourcing via generalized communities. IEEE Transactions on Knowledge and Data Engineering 21.1 (2008): 137--151. Katsaros Dimitrios et al. 2008. CDNs content outsourcing via generalized communities. IEEE Transactions on Knowledge and Data Engineering 21.1 (2008): 137--151.
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1. Fine-Grained Online Energy Management of Edge Data Centers Using Per-Core Power Gating and Dynamic Voltage and Frequency Scaling;IEEE Transactions on Sustainable Computing;2023-07-01
2. Research advances on AI-powered thermal management for data centers;Tsinghua Science and Technology;2022-04
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