Mecanismos de visualización para la monitorización de servicios cloud
Fecha
Autores
Kilaru, Oleksandr
Directores
Handle
https://riunet.upv.es/handle/10251/93929
Cita bibliográfica
Kilaru, O. (2017). Mecanismos de visualización para la monitorización de servicios cloud. https://riunet.upv.es/handle/10251/93929
Resumen
[ES] Actualmente existe la necesidad de mecanismos de monitorización flexibles que
permitan tanto al cliente como al proveedor evaluar la calidad de los servicios
ofertados en la nube con el fin de ofrecer una adecuada provisión de los mismos. El
grupo de investigación ISSI del Departamento de Sistemas Informáticos y
Computación (DSIC) de la UPV está trabajando en una infraestructura de
monitorización de servicios cloud que utiliza modelos en tiempo de
ejecución(models@runtime) para evaluar la calidad de los servicios, detectar
incumplimientos en los acuerdos a nivel de servicio (SLA) y reconfigurar la arquitectura
de los servicios dinámicamente para cumplir con los niveles de calidad esperados. El
objetivo de este proyecto es diseñar e implementar un prototipo de herramienta de
visualización de datos de monitorización que apoye la infraestructura de
monitorización permitiendo a los usuarios crear dinámicamente, reordenar, buscar y
explorar múltiples representaciones de datos de medición de calidad de los servicios
de diversas fuentes de datos. Se presenta el diseño de la herramienta, su
implementación y su aplicación a un escenario de uso con datos de monitorización
obtenidos de un repositorio.
[EN] Nowadays there is a need of flexible monitoring mechanisms that allow both the customer and the provider to evaluate the quality of cloud services in order to offer an adequate provision of them. The ISSI research group at the Department of Computer Systems and Computation (DSIC) from the UPV is working on a monitoring infrastructure for cloud services that explores the use of models at runtime (models@runtime) to support the quality evaluation of the services, the detection of Service Level Agreement (SLA) violations, and the dynamic reconfiguration of the service architecture in order to accomplish with the expected quality levels. The main objective of this project is the design and implementation of a prototype of a data visualization tool that supports the monitoring infrastructure allowing the users to dynamically create, reorder, search and explore multiple representations of services measurement data from various data sources. We present the design and the implementation of the tool as well as its application on a usage scenario with monitoring data obtained from a repository.
[EN] Nowadays there is a need of flexible monitoring mechanisms that allow both the customer and the provider to evaluate the quality of cloud services in order to offer an adequate provision of them. The ISSI research group at the Department of Computer Systems and Computation (DSIC) from the UPV is working on a monitoring infrastructure for cloud services that explores the use of models at runtime (models@runtime) to support the quality evaluation of the services, the detection of Service Level Agreement (SLA) violations, and the dynamic reconfiguration of the service architecture in order to accomplish with the expected quality levels. The main objective of this project is the design and implementation of a prototype of a data visualization tool that supports the monitoring infrastructure allowing the users to dynamically create, reorder, search and explore multiple representations of services measurement data from various data sources. We present the design and the implementation of the tool as well as its application on a usage scenario with monitoring data obtained from a repository.
Palabras clave
Cloud computing, Calidad de servicios, Acuerdo a nivel de servicio, models@runtime, Visualización de datos de monitorización, Quality of Service, Service Level Agreement, Monitoring, Data Visualization