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 contribution | Llenando el vacío: Una herramienta para automatizar la estimación de parámetros para modelos de rendimiento de software |
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Original language | English (US) |
Title of host publication | 1st International Workshop on Quality-Aware DevOps, QUDOS 2015 - Proceedings |
Publisher | Association for Computing Machinery |
Pages | 31-32 |
Number of pages | 2 |
ISBN (Electronic) | 9781450338172 |
DOIs | |
State | Published - Sep 1 2015 |
Externally published | Yes |
Event | 1st International Workshop on Quality-Aware DevOps, QUDOS 2015 - Bergamo, Italy Duration: Sep 1 2015 → … |
Conference
Conference | 1st International Workshop on Quality-Aware DevOps, QUDOS 2015 |
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Country/Territory | Italy |
City | Bergamo |
Period | 9/1/15 → … |
All Science Journal Classification (ASJC) codes
- Software