Experimental assessment of traffic prediction assisted data center network reconfiguration method

被引:0
|
作者
Guo, Xiaotao [1 ]
Xue, Xuwei [1 ]
Yan, Fulong [1 ]
Pan, Bitao [1 ]
Exarchakos, Georgios [1 ]
Calabretta, Nicola [1 ]
机构
[1] Eindhoven Univ Technol, Inst Photon Integrat, Eindhoven, Netherlands
关键词
D O I
10.1109/ECOC52684.2021.9606079
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We experimentally demonstrate a traffic prediction assisted network reconfiguration method (TPANR) for data center networks based on deep reinforcement learning (DRL). Traffic prediction model performs the lowest MSE of 2.64E-4. Exploiting one-step ahead traffic prediction and DRL-based automatic network reconfiguration, TPANR achieves 17.3% latency improvement.
引用
收藏
页数:4
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