Published November 17, 2015
| Version v1
Conference paper
Automatic Deployment of Services in the Cloud with Aeolus Blender
- Others:
- Preuves, Programmes et Systèmes (PPS) ; Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)
- Mandriva S.A. ; Mandriva
- Department of Computer Science and Engineering [Bologna] (DISI) ; Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO)
- Foundations of Component-based Ubiquitous Systems (FOCUS) ; Inria Sophia Antipolis - Méditerranée (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Dipartimento di Informatica - Scienza e Ingegneria [Bologna] (DISI) ; Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO)-Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO)
- Alistair Barros and Daniela Grigori and Nanjangud C. Narendra and Hoa Khanh Dam
Description
We present Aeolus Blender (Blender in the following), a software product for the automatic deployment and configuration of complex service-based, distributed software systems in the " cloud ". By relying on a configuration optimiser and a deployment planner, Blender fully automates the deployment of real-life applications on OpenStack cloud deployments , by exploiting a knowledge base of software services provided by the Mandriva Armonic tool suite. The final deployment is guaranteed to satisfy not only user requirements and relevant software dependencies , but also to be optimal with respect to the number of used virtual machines.
Abstract
International audience
Additional details
- URL
- https://hal.inria.fr/hal-01233489
- URN
- urn:oai:HAL:hal-01233489v1
- Origin repository
- UNICA