SANgo: a storage infrastructure simulator with reinforcement learning support

SANgo: a storage infrastructure simulator with reinforcement learning support

We introduce SANgo (Storage Area Network in the Go language)—a Go-based package for simulating the behavior of modern storage infrastructure. The software is based on the discrete-event modeling paradigm and captures the structure and dynamics of high-level storage system building blocks. The flexib...

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Bibliographic Details
Main Authors: Kenenbek Arzymatov, Andrey Sapronov, Vladislav Belavin, Leonid Gremyachikh, Maksim Karpov, Andrey Ustyuzhanin, Ivan Tchoub, Artem Ikoev
Format: Article
Language:English
Published: PeerJ Inc. 2020-05-01
Series:PeerJ Computer Science
Subjects:
Storage system simulation
Optimal control
Reinforcement learning
Storage array
Discrete event simulation
Online Access:https://peerj.com/articles/cs-271.pdf

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https://peerj.com/articles/cs-271.pdf

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