A Fast Q-Learning Based Data Storage Optimization for Low Latency in Data Center Networks

A Fast Q-Learning Based Data Storage Optimization for Low Latency in Data Center Networks

Data storage optimizations (DS, e.g. low latency for data access) in data center networks(DCN) are difficult online-making problems. Previously, they are done with heuristics under static network models which highly rely on designers' understanding of the environment. Encouraged by recent succe...

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Bibliographic Details
Main Authors: Zhuofan Liao, Jingsheng Peng, Yuantao Chen, Jingyu Zhang, Jin Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Data center networks
data access
latency
reinforcement learning
q-learning
Online Access:https://ieeexplore.ieee.org/document/9093023/

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