The ontology-based approach to data storage systems technical diagnostics

The ontology-based approach to data storage systems technical diagnostics

Monitoring and diagnosing the state of data storage systems, as well as assessing reliability and troubleshooting, require a formalized health model. A comparative analysis of existing knowledge representation methods has shown that an ontological approach is well suited for this task. This paper in...

Full description

Bibliographic Details
Main Authors: Mamoutova Olga V., Shirokova Svetlana V., Uspenskij Mikhail B., Loginova Aleksandra V.
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/2019/17/e3sconf_tpacee2019_08018.pdf
id doaj-18ff453a2e0c4b46b05318e451691fc7
record_format Article
spelling doaj-18ff453a2e0c4b46b05318e451691fc72021-02-02T02:06:40ZengEDP SciencesE3S Web of Conferences2267-12422019-01-01910801810.1051/e3sconf/20199108018e3sconf_tpacee2019_08018The ontology-based approach to data storage systems technical diagnosticsMamoutova Olga V.0Shirokova Svetlana V.1Uspenskij Mikhail B.2Loginova Aleksandra V.3Peter the Great St. Petersburg Polytechnic UniversityPeter the Great St. Petersburg Polytechnic UniversityPeter the Great St. Petersburg Polytechnic UniversityPeter the Great St. Petersburg Polytechnic UniversityMonitoring and diagnosing the state of data storage systems, as well as assessing reliability and troubleshooting, require a formalized health model. A comparative analysis of existing knowledge representation methods has shown that an ontological approach is well suited for this task. This paper introduces a machine-represented data storage reliability ontology with an expert health model as baseline data. Classes of the ontology include the key terms of the reliability domain. Stated requirements for data interpretation tools allow further processing of the ontology-based knowledge base. Described ontology-based diagnostic systems have shown their applicability in the case of data storage systems in the construction industry.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/17/e3sconf_tpacee2019_08018.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Mamoutova Olga V.
Shirokova Svetlana V.
Uspenskij Mikhail B.
Loginova Aleksandra V.
spellingShingle Mamoutova Olga V.
Shirokova Svetlana V.
Uspenskij Mikhail B.
Loginova Aleksandra V.
The ontology-based approach to data storage systems technical diagnostics
E3S Web of Conferences
author_facet Mamoutova Olga V.
Shirokova Svetlana V.
Uspenskij Mikhail B.
Loginova Aleksandra V.
author_sort Mamoutova Olga V.
title The ontology-based approach to data storage systems technical diagnostics
title_short The ontology-based approach to data storage systems technical diagnostics
title_full The ontology-based approach to data storage systems technical diagnostics
title_fullStr The ontology-based approach to data storage systems technical diagnostics
title_full_unstemmed The ontology-based approach to data storage systems technical diagnostics
title_sort ontology-based approach to data storage systems technical diagnostics
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2019-01-01
description Monitoring and diagnosing the state of data storage systems, as well as assessing reliability and troubleshooting, require a formalized health model. A comparative analysis of existing knowledge representation methods has shown that an ontological approach is well suited for this task. This paper introduces a machine-represented data storage reliability ontology with an expert health model as baseline data. Classes of the ontology include the key terms of the reliability domain. Stated requirements for data interpretation tools allow further processing of the ontology-based knowledge base. Described ontology-based diagnostic systems have shown their applicability in the case of data storage systems in the construction industry.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/17/e3sconf_tpacee2019_08018.pdf
work_keys_str_mv AT mamoutovaolgav theontologybasedapproachtodatastoragesystemstechnicaldiagnostics
AT shirokovasvetlanav theontologybasedapproachtodatastoragesystemstechnicaldiagnostics
AT uspenskijmikhailb theontologybasedapproachtodatastoragesystemstechnicaldiagnostics
AT loginovaaleksandrav theontologybasedapproachtodatastoragesystemstechnicaldiagnostics
AT mamoutovaolgav ontologybasedapproachtodatastoragesystemstechnicaldiagnostics
AT shirokovasvetlanav ontologybasedapproachtodatastoragesystemstechnicaldiagnostics
AT uspenskijmikhailb ontologybasedapproachtodatastoragesystemstechnicaldiagnostics
AT loginovaaleksandrav ontologybasedapproachtodatastoragesystemstechnicaldiagnostics
_version_ 1724310390768140288

Similar Items