Self-interested service-oriented agents based on trust and QoS for dynamic reconfiguration

Detalhes bibliográficos
Autor(a) principal: Rodrigues, Nelson
Data de Publicação: 2015
Outros Autores: Leitão, Paulo, Oliveira, Eugénio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10198/13959
Resumo: Progressively increasing complexity of dynamic environments, in which services and applications are demanded by potential clients, requires a high level of reconfiguration of the offer to better match that ever changing demand. In particular, the dynamic change of the client’s needs, leading to higher exigency, may require a smart and flexible automatic composition of more elementary services. By leveraging the service-oriented architectures and multi-agent system benefits, the paper proposes a method to explore the flexibility of the decision support for the services’ reconfiguration based on several pillars, such as trust, reputation and QoS models, which allows the selection based on measuring the expected performance of the agents. Preliminary experimental results, extracted from a real case scenario, allow highlighting the benefits of the proposed distributed and flexible solution to balance the workload of service providers in a simple and fast manner. The proposed solution includes the agents’ intelligent decision-making capability to dynamically and autonomously change services selection on the fly, towards more trustworthy services with better quality when unexpected events happen, e.g. broken machines. We then propose the use of competitive self-interested agents to provide services that best suits to the client through dynamic service composition.
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spelling Self-interested service-oriented agents based on trust and QoS for dynamic reconfigurationMulti-agent systemsService compositionProgressively increasing complexity of dynamic environments, in which services and applications are demanded by potential clients, requires a high level of reconfiguration of the offer to better match that ever changing demand. In particular, the dynamic change of the client’s needs, leading to higher exigency, may require a smart and flexible automatic composition of more elementary services. By leveraging the service-oriented architectures and multi-agent system benefits, the paper proposes a method to explore the flexibility of the decision support for the services’ reconfiguration based on several pillars, such as trust, reputation and QoS models, which allows the selection based on measuring the expected performance of the agents. Preliminary experimental results, extracted from a real case scenario, allow highlighting the benefits of the proposed distributed and flexible solution to balance the workload of service providers in a simple and fast manner. The proposed solution includes the agents’ intelligent decision-making capability to dynamically and autonomously change services selection on the fly, towards more trustworthy services with better quality when unexpected events happen, e.g. broken machines. We then propose the use of competitive self-interested agents to provide services that best suits to the client through dynamic service composition.Springer International PublishingBiblioteca Digital do IPBRodrigues, NelsonLeitão, PauloOliveira, Eugénio2017-02-08T09:39:33Z20152015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/13959engRodrigues, Nelson; Leitão, Paulo; Oliveira, Eugénio (2015). Self-interested service-oriented agents based on trust and QoS for dynamic reconfiguration. Studies in Computational Intelligence. ISSN 1860-949X. 594, p. 209-218978-3-319-15158-81860-949X10.1007/978-3-319-15159-5_20info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-21T10:32:22Zoai:bibliotecadigital.ipb.pt:10198/13959Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:03:44.644657Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Self-interested service-oriented agents based on trust and QoS for dynamic reconfiguration
title Self-interested service-oriented agents based on trust and QoS for dynamic reconfiguration
spellingShingle Self-interested service-oriented agents based on trust and QoS for dynamic reconfiguration
Rodrigues, Nelson
Multi-agent systems
Service composition
title_short Self-interested service-oriented agents based on trust and QoS for dynamic reconfiguration
title_full Self-interested service-oriented agents based on trust and QoS for dynamic reconfiguration
title_fullStr Self-interested service-oriented agents based on trust and QoS for dynamic reconfiguration
title_full_unstemmed Self-interested service-oriented agents based on trust and QoS for dynamic reconfiguration
title_sort Self-interested service-oriented agents based on trust and QoS for dynamic reconfiguration
author Rodrigues, Nelson
author_facet Rodrigues, Nelson
Leitão, Paulo
Oliveira, Eugénio
author_role author
author2 Leitão, Paulo
Oliveira, Eugénio
author2_role author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Rodrigues, Nelson
Leitão, Paulo
Oliveira, Eugénio
dc.subject.por.fl_str_mv Multi-agent systems
Service composition
topic Multi-agent systems
Service composition
description Progressively increasing complexity of dynamic environments, in which services and applications are demanded by potential clients, requires a high level of reconfiguration of the offer to better match that ever changing demand. In particular, the dynamic change of the client’s needs, leading to higher exigency, may require a smart and flexible automatic composition of more elementary services. By leveraging the service-oriented architectures and multi-agent system benefits, the paper proposes a method to explore the flexibility of the decision support for the services’ reconfiguration based on several pillars, such as trust, reputation and QoS models, which allows the selection based on measuring the expected performance of the agents. Preliminary experimental results, extracted from a real case scenario, allow highlighting the benefits of the proposed distributed and flexible solution to balance the workload of service providers in a simple and fast manner. The proposed solution includes the agents’ intelligent decision-making capability to dynamically and autonomously change services selection on the fly, towards more trustworthy services with better quality when unexpected events happen, e.g. broken machines. We then propose the use of competitive self-interested agents to provide services that best suits to the client through dynamic service composition.
publishDate 2015
dc.date.none.fl_str_mv 2015
2015-01-01T00:00:00Z
2017-02-08T09:39:33Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10198/13959
url http://hdl.handle.net/10198/13959
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Rodrigues, Nelson; Leitão, Paulo; Oliveira, Eugénio (2015). Self-interested service-oriented agents based on trust and QoS for dynamic reconfiguration. Studies in Computational Intelligence. ISSN 1860-949X. 594, p. 209-218
978-3-319-15158-8
1860-949X
10.1007/978-3-319-15159-5_20
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Springer International Publishing
publisher.none.fl_str_mv Springer International Publishing
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instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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