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

Hybrid optical-electrical switching based data center network (HOE-DCN) has been regarded as a promising architecture for the next generation data center network (DCN). To achieve traffic optimization, the main superiority of HOE-DCN is its capability to offload the long-lived `elephant' flows...

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Bibliographic Details
Main Authors: Yinan Tang, Hongxiang Guo, Tongtong Yuan, Xiong Gao, Xiaobin Hong, Yan Li, Jifang Qiu, Yong Zuo, Jian Wu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Optical switching
data center network
deep reinforcement learning
flow scheduling
Online Access:https://ieeexplore.ieee.org/document/8832226/

Internet

https://ieeexplore.ieee.org/document/8832226/

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