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Resumen

 

AN ARCHITECTURE FOR LEARNING TO REDUCE THE RISK OF FAILURE OF WEB SERVICES FOR ITS COMPOSITION

UNA ARQUITECTURA DE APRENDIZAJE PARA DISMINUIR EL RIESGO DE FALLA DE SERVICIOS WEB DURANTE SU COMPOSICIÓN
Ing. Byron Enrique Portilla Rosero.
MSc. Jaime Alberto Guzmán Luna.

Abstract: This paper describe machine learning architecture to management failure during Web services composition. We illustrate two important aspects: time and security. For this reason, this architecture uses learning machine models based on relational decision trees that allow through experience; obtain relevant information on the performance of services in order to be evaluating in future compositions. This information will decrease the failure risk caused by Web services.

Keywords: Semantic Web services, services composition, management failure risk, decision trees.

Resumen: Este documento describe una arquitectura de aprendizaje máquinas para el manejo de fallas generadas durante el proceso de composición de servicios Web, actuando principalmente bajo dos aspectos fundamentales como son: el tiempo y la seguridad. Para ello, esta arquitectura utiliza modelos de aprendizaje de máquinas basados en árboles de decisión relacionales, que permiten a través de la experiencia, obtener la información pertinente del comportamiento de los servicios de manera que pueda ser evaluada y categorizada con el fin que en futuras composiciones, se disminuya el riesgo de falla presentado por los servicios Web.

Palabras clave: Servicios Web Semánticos, composición de servicios, manejo de fallas, árboles de decisión.