Log mining and knowledge-based models in data storage systems diagnostics
Modern data storage systems have a sophisticated hardware and software architecture, including multiple storage processors, storage fabrics, network equipment and storage media and contain information, which can be damaged or lost because of hardware or software fault. Approach to storage software d...
Main Author: | Uspenskij Mikhail B. |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2019-01-01
|
Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/66/e3sconf_eece18_03006.pdf |
Similar Items
-
The ontology-based approach to data storage systems technical diagnostics
by: Mamoutova Olga V., et al.
Published: (2019-01-01) -
The challenges of mining logging data in ATLAS
by: Gallas Elizabeth J, et al.
Published: (2019-01-01) -
The challenges of mining logging data in ATLAS
by: Gallas, E, et al.
Published: (2019) -
Research and Application of Element Logging Intelligent Identification Model Based on Data Mining
by: Haibo Liang, et al.
Published: (2019-01-01) -
Analyzing Log Files using Data-Mining
by: Marius Mihut
Published: (2008-01-01)