A Model to Guide Dynamic Adaptation Planning in Self-Adaptive Systems

Self-adaptive enterprise applications have the ability to continuously reconfigure themselves according to changes in their execution contexts or user requirements. The infrastructure managing such systems is based on IBM's MAPE-K reference model: a Monitor and an Analyzer to sense and interpre...

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Autores:
Paz Loboguerrero Andrés
Arboleda Jiménez, Hugo Fernando
Tipo de recurso:
Article of investigation
Fecha de publicación:
2016
Institución:
Universidad ICESI
Repositorio:
Repositorio ICESI
Idioma:
eng
OAI Identifier:
oai:repository.icesi.edu.co:10906/81724
Acceso en línea:
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964691249&doi=10.1016%2fj.entcs.2016.02.005&partnerID=40&md5=4a365c93ee9a06da65a19602febb36ad
http://hdl.handle.net/10906/81724
http://dx.doi.org/10.1016/j.entcs.2016.02.005
Palabra clave:
Dynamic Adaptation
Systems application architecture
Telecommunication
Hardware y arquitectura de computadores
Telecomunicaciones
Adaptación dinámica
Automatización y sistemas de control
Rights
License
https://creativecommons.org/licenses/by-nc-nd/4.0/
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network_name_str Repositorio ICESI
repository_id_str
spelling Paz Loboguerrero AndrésArboleda Jiménez, Hugo FernandoMadrid de Lat: 40 30 00 N degrees minutes Lat: 40.5000 decimal degrees Long: 003 40 00 W degrees minutes Long: -3.6667 decimal degrees2017-07-07T13:24:42Z2017-07-07T13:24:42Z2016-03-141571-0661https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964691249&doi=10.1016%2fj.entcs.2016.02.005&partnerID=40&md5=4a365c93ee9a06da65a19602febb36adhttp://hdl.handle.net/10906/81724http://dx.doi.org/10.1016/j.entcs.2016.02.005instname: Universidad Icesireponame: Biblioteca Digitalrepourl: https://repository.icesi.edu.co/Self-adaptive enterprise applications have the ability to continuously reconfigure themselves according to changes in their execution contexts or user requirements. The infrastructure managing such systems is based on IBM's MAPE-K reference model: a Monitor and an Analyzer to sense and interpret context data, a Planner and an Executor to create and apply structural adaptation plans, and a Knowledge manager to share relevant information. In this paper we present a formal model, built on the principles of constraint satisfaction, to address dynamic adaptation planning for self-adaptive enterprise applications. We formalize, modify and extend the approach presented in [H. Arboleda, J. F. Díaz, V. Vargas, and J.-C. Royer, "Automated reasoning for derivation of modeldriven spls," in SPLC'10 MAPLE'10, 2010, pp. 181-188] for working with self-adaptation infrastructures in order to provide automated reasoning on the dynamic creation of structural adaptation plans. We use a running example to demonstrate the applicability of such model, even in situations where complex interactions arise between context elements and the target self-adaptive enterprise application.22 páginasengElsevierFacultad de IngenieríaTecnologías de Información y ComunicacionesMadridElectronic Notes in Theoretical Computer Science, Vol. 321, No.14 - 2016EL AUTOR, expresa que la obra objeto de la presente autorización es original y la elaboró sin quebrantar ni suplantar los derechos de autor de terceros, y de tal forma, la obra es de su exclusiva autoría y tiene la titularidad sobre éste. PARÁGRAFO: en caso de queja o acción por parte de un tercero referente a los derechos de autor sobre el artículo, folleto o libro en cuestión, EL AUTOR, asumirá la responsabilidad total, y saldrá en defensa de los derechos aquí autorizados; para todos los efectos, la Universidad Icesi actúa como un tercero de buena fe. Esta autorización, permite a la Universidad Icesi, de forma indefinida, para que en los términos establecidos en la Ley 23 de 1982, la Ley 44 de 1993, leyes y jurisprudencia vigente al respecto, haga publicación de este con fines educativos. Toda persona que consulte ya sea la biblioteca o en medio electrónico podrá copiar apartes del texto citando siempre la fuentes, es decir el título del trabajo y el autor.https://creativecommons.org/licenses/by-nc-nd/4.0/Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)http://purl.org/coar/access_right/c_16ecDynamic AdaptationSystems application architectureTelecommunicationHardware y arquitectura de computadoresTelecomunicacionesAdaptación dinámicaAutomatización y sistemas de controlA Model to Guide Dynamic Adaptation Planning in Self-Adaptive Systemsinfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1Artículoinfo:eurepo/semantics/publishedVersion3216888ORIGINALdocumento.htmldocumento.htmltext/html316http://repository.icesi.edu.co/biblioteca_digital/bitstream/10906/81724/1/documento.html753f2fc55625842aeb11917000ced59dMD5110906/81724oai:repository.icesi.edu.co:10906/817242020-05-06 17:57:30.545Biblioteca Digital - Universidad icesicdcriollo@icesi.edu.co
dc.title.none.fl_str_mv A Model to Guide Dynamic Adaptation Planning in Self-Adaptive Systems
title A Model to Guide Dynamic Adaptation Planning in Self-Adaptive Systems
spellingShingle A Model to Guide Dynamic Adaptation Planning in Self-Adaptive Systems
Dynamic Adaptation
Systems application architecture
Telecommunication
Hardware y arquitectura de computadores
Telecomunicaciones
Adaptación dinámica
Automatización y sistemas de control
title_short A Model to Guide Dynamic Adaptation Planning in Self-Adaptive Systems
title_full A Model to Guide Dynamic Adaptation Planning in Self-Adaptive Systems
title_fullStr A Model to Guide Dynamic Adaptation Planning in Self-Adaptive Systems
title_full_unstemmed A Model to Guide Dynamic Adaptation Planning in Self-Adaptive Systems
title_sort A Model to Guide Dynamic Adaptation Planning in Self-Adaptive Systems
dc.creator.fl_str_mv Paz Loboguerrero Andrés
Arboleda Jiménez, Hugo Fernando
dc.contributor.author.spa.fl_str_mv Paz Loboguerrero Andrés
Arboleda Jiménez, Hugo Fernando
dc.subject.eng.fl_str_mv Dynamic Adaptation
Systems application architecture
Telecommunication
topic Dynamic Adaptation
Systems application architecture
Telecommunication
Hardware y arquitectura de computadores
Telecomunicaciones
Adaptación dinámica
Automatización y sistemas de control
dc.subject.spa.fl_str_mv Hardware y arquitectura de computadores
Telecomunicaciones
Adaptación dinámica
Automatización y sistemas de control
description Self-adaptive enterprise applications have the ability to continuously reconfigure themselves according to changes in their execution contexts or user requirements. The infrastructure managing such systems is based on IBM's MAPE-K reference model: a Monitor and an Analyzer to sense and interpret context data, a Planner and an Executor to create and apply structural adaptation plans, and a Knowledge manager to share relevant information. In this paper we present a formal model, built on the principles of constraint satisfaction, to address dynamic adaptation planning for self-adaptive enterprise applications. We formalize, modify and extend the approach presented in [H. Arboleda, J. F. Díaz, V. Vargas, and J.-C. Royer, "Automated reasoning for derivation of modeldriven spls," in SPLC'10 MAPLE'10, 2010, pp. 181-188] for working with self-adaptation infrastructures in order to provide automated reasoning on the dynamic creation of structural adaptation plans. We use a running example to demonstrate the applicability of such model, even in situations where complex interactions arise between context elements and the target self-adaptive enterprise application.
publishDate 2016
dc.date.issued.none.fl_str_mv 2016-03-14
dc.date.accessioned.none.fl_str_mv 2017-07-07T13:24:42Z
dc.date.available.none.fl_str_mv 2017-07-07T13:24:42Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.coar.none.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.local.spa.fl_str_mv Artículo
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dc.identifier.issn.none.fl_str_mv 1571-0661
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dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10906/81724
dc.identifier.doi.none.fl_str_mv http://dx.doi.org/10.1016/j.entcs.2016.02.005
dc.identifier.instname.none.fl_str_mv instname: Universidad Icesi
dc.identifier.reponame.none.fl_str_mv reponame: Biblioteca Digital
dc.identifier.repourl.none.fl_str_mv repourl: https://repository.icesi.edu.co/
identifier_str_mv 1571-0661
instname: Universidad Icesi
reponame: Biblioteca Digital
repourl: https://repository.icesi.edu.co/
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964691249&doi=10.1016%2fj.entcs.2016.02.005&partnerID=40&md5=4a365c93ee9a06da65a19602febb36ad
http://hdl.handle.net/10906/81724
http://dx.doi.org/10.1016/j.entcs.2016.02.005
dc.language.iso.eng.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv Electronic Notes in Theoretical Computer Science, Vol. 321, No.14 - 2016
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.rights.uri.none.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.license.none.fl_str_mv Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
http://purl.org/coar/access_right/c_16ec
dc.format.extent.spa.fl_str_mv 22 páginas
dc.coverage.spatial.none.fl_str_mv Madrid de Lat: 40 30 00 N degrees minutes Lat: 40.5000 decimal degrees Long: 003 40 00 W degrees minutes Long: -3.6667 decimal degrees
dc.publisher.none.fl_str_mv Elsevier
dc.publisher.faculty.spa.fl_str_mv Facultad de Ingeniería
dc.publisher.department.spa.fl_str_mv Tecnologías de Información y Comunicaciones
dc.publisher.place.spa.fl_str_mv Madrid
publisher.none.fl_str_mv Elsevier
institution Universidad ICESI
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