Experimental Analysis on Autonomic Strategies for Cloud Elasticity

Simon Dupont 1, 2, 3 Jonathan Lejeune 1, 2 Frederico Alvares 1, 2 Thomas Ledoux 1, 2
2 ASCOLA - Aspect and composition languages
Inria Rennes – Bretagne Atlantique , Département informatique - EMN, LINA - Laboratoire d'Informatique de Nantes Atlantique
Abstract : In spite of the indubitable advantages of elasticity in Cloud infrastructures, some technical and conceptual limitations are still to be considered. For instance , resource start up time is generally too long to react to unexpected workload spikes. Also, the billing cycles' granularity of existing pricing models may incur consumers to suffer from partial usage waste. We advocate that the software layer can take part in the elasticity process as the overhead of software reconfigurations can be usually considered negligible if compared to infrastructure one. Thanks to this extra level of elasticity, we are able to define cloud reconfigurations that enact elasticity in both software and infrastructure layers so as to meet demand changes while tackling those limitations. This paper presents an autonomic approach to manage cloud elasticity in a cross-layered manner. First, we enhance cloud elasticity with the software elasticity model. Then, we describe how our au-tonomic cloud elasticity model relies on dynamic selection of elasticity tactics. We present an experimental analysis of a subset of those elasticity tactics under different scenarios in order to provide insights on strategies that could drive the autonomic selection of the proper tactics to be applied.
Type de document :
Communication dans un congrès
2015 IEEE International Conference on Cloud and Autonomic Computing (ICCAC), Sep 2015, Cambridge, United States. 2015, 〈http://www.autonomic-conference.org/〉
Liste complète des métadonnées

Littérature citée [23 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01178419
Contributeur : Simon Dupont <>
Soumis le : lundi 20 juillet 2015 - 11:05:44
Dernière modification le : mardi 16 janvier 2018 - 14:39:53
Document(s) archivé(s) le : mercredi 21 octobre 2015 - 10:17:37

Fichier

CAC2015-sdupont.pdf
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

  • HAL Id : hal-01178419, version 1

Citation

Simon Dupont, Jonathan Lejeune, Frederico Alvares, Thomas Ledoux. Experimental Analysis on Autonomic Strategies for Cloud Elasticity. 2015 IEEE International Conference on Cloud and Autonomic Computing (ICCAC), Sep 2015, Cambridge, United States. 2015, 〈http://www.autonomic-conference.org/〉. 〈hal-01178419〉

Partager

Métriques

Consultations de la notice

621

Téléchargements de fichiers

375