Performance characterization of black boxes with self-controlled load injection for simulation-based sizing

Ahmed Harbaoui 1 Bruno Dillenseger 2 Jean-Marc Vincent 1
1 MESCAL - Middleware efficiently scalable
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
Abstract : Sizing and capacity planning are key issues that must be addressed by anyone wanting to ensure a distributed system will sustain an expected workload. Solutions typically consist in either benchmarking,or modeling and simulating the target system. However, full-scale benchmarking may be too costly and almost impossible, while the granularity of modeling is often limited by the huge complexity and the lack of information about the system. To extract a model for this kind of system, we propose a methodology that combines both solutions by first identifying a middle-grain model made of interconnected black boxes, and then to separately characterize the performance and resource consumption of these black boxes. Then, we present two important issues : saturation and stability, that are key to system capacity characterization. To experiment our methodology, we propose a component-based supporting architecture, introducing control theory issues in a general approach to autonomic computing infrastructures.
Liste complète des métadonnées

Cited literature [16 references]  Display  Hide  Download

https://hal.inria.fr/hal-00953631
Contributor : Arnaud Legrand <>
Submitted on : Friday, February 28, 2014 - 2:11:56 PM
Last modification on : Thursday, October 11, 2018 - 8:48:02 AM
Document(s) archivé(s) le : Wednesday, May 28, 2014 - 2:20:10 PM

File

CFSE-2008.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00953631, version 1

Collections

Citation

Ahmed Harbaoui, Bruno Dillenseger, Jean-Marc Vincent. Performance characterization of black boxes with self-controlled load injection for simulation-based sizing. CFSE, 2008, Fribourg. ⟨hal-00953631⟩

Share

Metrics

Record views

352

Files downloads

342