Distributed Chronicles to Faults Recognition

The chronicles paradigm has been used to determine fault in dynamic systems, allow modeling the temporal relationships between observable events and enabling to describe the patterns of behavior of the system. The mechanisms used until now usually use semi-centralized approaches, which consist of a...

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Hlavní autor: Aguilar Castro, J. (author)
Médium: article
Vydáno: 2015
Témata:
On-line přístup:http://dspace.utpl.edu.ec/handle/123456789/18924
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author Aguilar Castro, J.
author_facet Aguilar Castro, J.
author_role author
collection Repositorio Universidad Técnica Particular de Loja
dc.creator.none.fl_str_mv Aguilar Castro, J.
dc.date.none.fl_str_mv 2015-04-01
2017-06-16T22:02:37Z
2017-06-16T22:02:37Z
dc.identifier.none.fl_str_mv 1316-7081
http://dspace.utpl.edu.ec/handle/123456789/18924
dc.language.none.fl_str_mv Inglés
dc.publisher.none.fl_str_mv CIENCIA E INGENIERIA
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:Repositorio Universidad Técnica Particular de Loja
instname:Universidad Técnica Particular de Loja
instacron:UTPL
dc.subject.none.fl_str_mv Distributed pattern recognition
temporal patterns recognition
chronicles
distributed fault diagnostic
web service composition fault tolerance
dc.title.none.fl_str_mv Distributed Chronicles to Faults Recognition
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description The chronicles paradigm has been used to determine fault in dynamic systems, allow modeling the temporal relationships between observable events and enabling to describe the patterns of behavior of the system. The mechanisms used until now usually use semi-centralized approaches, which consist of a central component that is responsible for making the final inference about the fault diagnosis of the system, based on the information collected from local diagnosers. Hence this model is not suited for monitoring very large systems. We propose in this article a fully distributed approach. This distributed chronicle recognition is illustrated in the context of e-commerce with a Service Oriented Application implementation
eu_rights_str_mv openAccess
format article
id UTPL_2fd75df2cbfdc5fb06cb988ede324c8d
identifier_str_mv 1316-7081
instacron_str UTPL
institution UTPL
instname_str Universidad Técnica Particular de Loja
language_invalid_str_mv Inglés
network_acronym_str UTPL
network_name_str Repositorio Universidad Técnica Particular de Loja
oai_identifier_str oai:dspace.utpl.edu.ec:123456789/18924
publishDate 2015
publisher.none.fl_str_mv CIENCIA E INGENIERIA
reponame_str Repositorio Universidad Técnica Particular de Loja
repository.mail.fl_str_mv .
repository.name.fl_str_mv Repositorio Universidad Técnica Particular de Loja - Universidad Técnica Particular de Loja
repository_id_str 1227
spelling Distributed Chronicles to Faults RecognitionAguilar Castro, J.Distributed pattern recognitiontemporal patterns recognitionchroniclesdistributed fault diagnosticweb service composition fault toleranceThe chronicles paradigm has been used to determine fault in dynamic systems, allow modeling the temporal relationships between observable events and enabling to describe the patterns of behavior of the system. The mechanisms used until now usually use semi-centralized approaches, which consist of a central component that is responsible for making the final inference about the fault diagnosis of the system, based on the information collected from local diagnosers. Hence this model is not suited for monitoring very large systems. We propose in this article a fully distributed approach. This distributed chronicle recognition is illustrated in the context of e-commerce with a Service Oriented Application implementationCIENCIA E INGENIERIA2017-06-16T22:02:37Z2017-06-16T22:02:37Z2015-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1316-7081http://dspace.utpl.edu.ec/handle/123456789/18924Inglésinfo:eu-repo/semantics/openAccessreponame:Repositorio Universidad Técnica Particular de Lojainstname:Universidad Técnica Particular de Lojainstacron:UTPL2017-06-16T22:02:37Zoai:dspace.utpl.edu.ec:123456789/18924Institucionalhttps://dspace.utpl.edu.ec/Institución privadahttps://www.utpl.edu.ec/https://dspace.utpl.edu.ec/oai.Ecuador...opendoar:12272017-06-16T22:02:37Repositorio Universidad Técnica Particular de Loja - Universidad Técnica Particular de Lojafalse
spellingShingle Distributed Chronicles to Faults Recognition
Aguilar Castro, J.
Distributed pattern recognition
temporal patterns recognition
chronicles
distributed fault diagnostic
web service composition fault tolerance
status_str publishedVersion
title Distributed Chronicles to Faults Recognition
title_full Distributed Chronicles to Faults Recognition
title_fullStr Distributed Chronicles to Faults Recognition
title_full_unstemmed Distributed Chronicles to Faults Recognition
title_short Distributed Chronicles to Faults Recognition
title_sort Distributed Chronicles to Faults Recognition
topic Distributed pattern recognition
temporal patterns recognition
chronicles
distributed fault diagnostic
web service composition fault tolerance
url http://dspace.utpl.edu.ec/handle/123456789/18924