Mjolnir: A framework agnostic auto-tuning system with deep reinforcement learning
Author:
Funder
Service Public de Wallonie
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03956-9.pdf
Reference42 articles.
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2. Goodfellow I, Bengio Y, Courville A (2016) Deep Learning. MIT Press, Cambridge, MA, USA. http://www.deeplearningbook.org. Accessed 8 Feb 2022
3. Zhao X, Yin J, Chen Z, He S (2013) Workload classification model for specializing virtual machine operating system. In: 2013 IEEE Sixth international conference on cloud computing. https://doi.org/10.1109/CLOUD.2013.144, pp 343–350
4. Aken DV, Pavlo A, Gordon GJ, Zhang B (2017) Automatic database management system tuning through large-scale machine learning. Proceedings of the ACM SIGMOD international conference on management of data part F1277, pp 1009–1024. https://doi.org/10.1145/3035918.3064029
5. Du H, Han P, Xiang Q, Huang S (2020) Monkeyking: Adaptive parameter tuning on big data platforms with deep reinforcement learning. Big Data 8(4):270–290. https://doi.org/10.1089/big.2019.0123
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