Sep 11, 2019 � In this paper, we propose Flow Splitter (FS), a deep reinforcement learning (DRL) based flow scheduler which enables HOE-DCN to make instant flow scheduling.

PDF | Hybrid optical-electrical switching based data center network (HOE-DCN) has been regarded as a promising architecture for the next-generation data.

Flow Splitter: A Deep Reinforcement. Learning-Based Flow Scheduler for Hybrid. Optical-Electrical Data Center Network. YINAN TANG 1, HONGXIANG GUO 1, (Member�...

NASA/ADS � Flow Splitter: A Deep Reinforcement Learning-Based Flow Scheduler for Hybrid Optical-Electrical Data Center Network.

Flow splitter: A deep reinforcement learning-based flow scheduler for hybrid optical-electrical data center network. Y Tang, H Guo, T Yuan, X Gao, X Hong, Y Li,�...

This paper demonstrates Deep-RMSA, a deep reinforcement learning based self-learning RMSA agent that can learn successful policies from dynamic network�...

Flow Splitter: A Deep Reinforcement Learning Based Flow Scheduler for Hybrid Optical-Electrical Data Center Network ... flow splitter (FS), a deep reinforcement�...

Tanget al., “Flow splitter: A deep reinforcement learning-based flow scheduler for hybrid optical-electrical data center network,” IEEE Access, vol. 7, pp�...

Flow splitter: A deep reinforcement learning-based flow scheduler for hybrid optical-electrical data center network. IEEE Access, 7, 129955–129965. https�...

Flow splitter: A deep reinforcement learning-based flow scheduler for hybrid optical-electrical data center network. Y Tang, H Guo, T Yuan, X Gao, X Hong, Y Li,�...