Monitoramento de Metadados para Computação Ubíqua
Resumo
Aplicações ubíquas são compostas por serviços fornecidos por diversos provedores de serviços, usam informações de contexto para realização das suas tarefas e operam em um ambiente extremamente dinâmico. Nesse cenário, é essencial monitorar os metadados relacionados a Qualidade de Serviço (QoS) e Qualidade de Contexto (QoC) para se garantir que a aplicação está usando serviços e informações de contexto com níveis de QoS e QoC que satisfaçam seus requisitos. Este artigo apresenta um módulo para monitoramento de metadados de QoS e QoC, usa ontologias para representação das informações, provê suporte a aferição de metadados e monitoramento síncrono e assíncrono. Este trabalho também ilustra o uso do monitor em uma aplicação ubíqua para a área de petróleo e gás e mostra uma avaliação de desempenho do mesmo.Referências
Buchholz, T.; et al. (2003) Quality of Context: What it is and why we need it. Proceedings of the 10th Workshop of the HP OpenView University Association.
Dey, A.; et al. (2001) A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications. Journal of Human-Computer Interaction 16(2), pp.97–166.
Dobson, G.; Lock, R.; Sommerville, I. (2005) Developing an ontology for QoS. Proceedings of the 5th Annual DIRC Research Conference, pp.128–132.
Guo, G.; Yu, F.; Xie, D. (2011) A method for semantic Web service selection based on QoS ontology. Journal of Computers 6(2), pp.377–386.
Lin, C. et al. (2011) A relaxable service selection algorithm for QoS-based service composition. Information and Software Technology 53(12), pp.1370–1381.
Sathya, M. et al. (2011) Evaluation of QoS based Web service selection techniques for service composition. International Journal of Software Engineering 1(5), pp.73–90.
Tran, V.; et al. (2009) A new QoS ontology and its QoS-based ranking algorithm for Web services. Simulation Modeling Practice and Theory 17, pp.1378–1398.
Truong, H.L. et al. (2006) Towards a framework for monitoring and analyzing QoS metrics for grid services. Proceedings of the 2nd IEEE Conference on e-Science and Grid Computing, USA, IEEE Computer Society.
Weiser, M. (1991) The computer of the Twenty-First Century. Scientific American 265(3), pp.94–104.
Zheng, D.; Wang, J. (2011) Research of the QoC based middleware for the service selection in pervasive environment. International Journal of Information Engineering and Electronic Business 3(1), pp.30–37.
Dey, A.; et al. (2001) A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications. Journal of Human-Computer Interaction 16(2), pp.97–166.
Dobson, G.; Lock, R.; Sommerville, I. (2005) Developing an ontology for QoS. Proceedings of the 5th Annual DIRC Research Conference, pp.128–132.
Guo, G.; Yu, F.; Xie, D. (2011) A method for semantic Web service selection based on QoS ontology. Journal of Computers 6(2), pp.377–386.
Lin, C. et al. (2011) A relaxable service selection algorithm for QoS-based service composition. Information and Software Technology 53(12), pp.1370–1381.
Sathya, M. et al. (2011) Evaluation of QoS based Web service selection techniques for service composition. International Journal of Software Engineering 1(5), pp.73–90.
Tran, V.; et al. (2009) A new QoS ontology and its QoS-based ranking algorithm for Web services. Simulation Modeling Practice and Theory 17, pp.1378–1398.
Truong, H.L. et al. (2006) Towards a framework for monitoring and analyzing QoS metrics for grid services. Proceedings of the 2nd IEEE Conference on e-Science and Grid Computing, USA, IEEE Computer Society.
Weiser, M. (1991) The computer of the Twenty-First Century. Scientific American 265(3), pp.94–104.
Zheng, D.; Wang, J. (2011) Research of the QoC based middleware for the service selection in pervasive environment. International Journal of Information Engineering and Electronic Business 3(1), pp.30–37.
Publicado
16/07/2012
Como Citar
BATISTA, Caio; ALVES, Gustavo; CAVALCANTE, Everton; LOPES, Frederico; BATISTA, Thais.
Monitoramento de Metadados para Computação Ubíqua. In: SEMINÁRIO INTEGRADO DE SOFTWARE E HARDWARE (SEMISH), 39. , 2012, Curitiba/PR.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2012
.
p. 131-142.
ISSN 2595-6205.
