Employing Streaming Machine Learning for Modeling Workload Patterns in Multi-Tiered Data Storage Systems

Employing Streaming Machine Learning for Modeling Workload Patterns in Multi-Tiered Data Storage Systems

Modern multi-tiered data storage systems optimize file access by managing data across a hybrid composition of caches and storage tiers while using policies whose decisions can severely impact the storage system’s performance. Recently, different Machine-Learning (ML) algorithms have been used to mod...

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Bibliographic Details
Main Authors: Edson Ramiro Lucas Filho, George Savva, Lun Yang, Kebo Fu, Jianqiang Shen, Herodotos Herodotou
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Future Internet
Subjects:
multi-tiered data storage systems
streaming machine learning
workload patterns
Online Access:https://www.mdpi.com/1999-5903/17/4/170
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