Filling the gap: a tool to automate parameter estimation for software performance models

Software performance engineering heavily relies on application and resource models that enable the prediction of Quality-of-Service metrics. Critical to these models is the accuracy of their parameters, the value of which can change with the application and the resources where it is deployed. In thi...

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Detalles Bibliográficos
Autores Principales: Wang, Weikun, Pérez, Juan F., Casale, Giuliano
Formato: Capítulo de libro (Book Chapter)
Lenguaje:Inglés (English)
Publicado: Association for Computing Machinery 2015
Materias:
Acceso en línea:https://repository.urosario.edu.co/handle/10336/28534
https://doi.org/10.1145/2804371.2804379
Descripción
Sumario:Software performance engineering heavily relies on application and resource models that enable the prediction of Quality-of-Service metrics. Critical to these models is the accuracy of their parameters, the value of which can change with the application and the resources where it is deployed. In this paper we introduce the Filling-the-gap (FG) tool, which automates the parameter estimation of application performance models. This tool implements a set of statistical routines to estimate the parameters of performance models, which are automatically executed using monitoring information kept in a local database.