MDLB: a metadata dynamic load balancing mechanism based on reinforcement learning
Author:
Publisher
Zhejiang University Press
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing
Link
https://link.springer.com/content/pdf/10.1631/FITEE.1900121.pdf
Reference35 articles.
1. Amari SI, Ozeki T, Karakida R, et al., 2018. Dynamics of learning in MLP: natural gradient and singularity revisited. Neur Comput, 30(1):1–33. https://doi.org/10.1162/neco_a_01029
2. Azzedin F, 2013. Towards a scalable HDFS architecture. Proc Int Conf on Collaboration Technologies and Systems, p.155–161. https://doi.org/10.1109/CTS.2013.6567222
3. Chen T, Xiao N, Liu F, 2013. Adaptive metadata load balancing for object storage systems. J Softw, 24(2):331–342 (in Chinese). https://doi.org/10.3724/SP.J.1001.2013.04177
4. Fortunato M, Azar MG, Piot B, et al., 2017. Noisy networks for exploration. https://arxiv.org/abs/1706.10295
5. Ghemawat S, Gobioff H, Leung ST, 2003. The Google file system. Proc 19th ACM Symp on Operating Systems Principles, p.29–43. https://doi.org/10.1145/945445.945450
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