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

Weikun Wang, Juan F. Pérez, Giuliano Casale

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

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.

Translated title of the contributionLlenando el vacío: Una herramienta para automatizar la estimación de parámetros para modelos de rendimiento de software
Original languageEnglish (US)
Title of host publication1st International Workshop on Quality-Aware DevOps, QUDOS 2015 - Proceedings
PublisherAssociation for Computing Machinery
Pages31-32
Number of pages2
ISBN (Electronic)9781450338172
DOIs
StatePublished - Sep 1 2015
Externally publishedYes
Event1st International Workshop on Quality-Aware DevOps, QUDOS 2015 - Bergamo, Italy
Duration: Sep 1 2015 → …

Conference

Conference1st International Workshop on Quality-Aware DevOps, QUDOS 2015
Country/TerritoryItaly
CityBergamo
Period9/1/15 → …

All Science Journal Classification (ASJC) codes

  • Software

Fingerprint

Dive into the research topics of 'Filling the gap: A tool to automate parameter estimation for software performance models'. Together they form a unique fingerprint.

Cite this