id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ijassa-725	Hushchyn, M.; Sapronov, A.; Ustyuzhanin, A.	Machine Learning Algorithms for Automatic Anomalies Detection in Data Storage Systems Operation	2019	10	.pdf	application/pdf	4363	299	59	Keywords: machine learning, time series analysis, anomaly detection, data storage systems 1. INTRODUCTION Modern data storage systems are built from hundreds of solid-state drives (SSDs) and hard disk drives (HDDs), networks and controllers to handle and process incoming data. In this work several approaches of anomaly detection for data storage systems are considered.	cache/ijassa-725.pdf	txt/ijassa-725.txt