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:page_facing_up: :cn: :page_with_curl: 论文阅读笔记（分布式系统、虚拟化、机器学习）Papers Notebook (Distributed System, Virtualization, Machine Learning)
https://github.com/dyweb/papers-notebook/issues?utf8=%E2%9C%93&q=is%3Aissue+is%3Aopen+-label%3ATODO-%E6%9C%AA%E8%AF%BB
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CPU Workload forecasting of Machines in Data Centers using LSTM Recurrent Neural Networks and ARIMA Models #91

Open gaocegege opened 6 years ago

gaocegege commented 6 years ago

https://ieeexplore.ieee.org/abstract/document/8356346/

gaocegege commented 6 years ago

同样没有读的必要，对比了 ARIMA 和 LSTM 在预测 CPU 使用率这一问题上的表现，跟一篇浙大的硕士论文很像：

http://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CMFD&dbname=CMFD201702&filename=1017098965.nh [1]杨鹏飞. 基于Kubernetes的资源动态调度的研究与实现[D].浙江大学,2017.