Towards Model-Driven Multi-Cloud Resource Management

Fawaz Paraiso 1 Stéphanie Challita 2, 1 Yahya Al-Dhuraibi 3, 1 Philippe Merle 1
1 SPIRALS - Self-adaptation for distributed services and large software systems
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Abstract : Multi-Cloud computing has established itself as a paradigm of choice for acquiring resources from different providers and get the best of each of them to run their applications. However, managing resources in Multi-Cloud remains a challenging task. Several multi-cloud libraries based approaches include Apache Libcloud, Apache jclouds, δ-cloud, Daseincloud, fog, and pkgcloud exist in the cloud market. But these are still low level as Multi-Cloud management tasks must always be programmed. Therefore, application platforms are need to help developers to succeed. In this paper we give a model-driven approach for managing resources of multiple clouds at high level. We illustrate our proposal by providing a prototype of Multi-Cloud Designer for managing resource from multiple clouds.
Type de document :
Rapport
[Research Report] Inria Lille - Nord Europe. 2016
Liste complète des métadonnées

Littérature citée [9 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01534785
Contributeur : Fawaz Paraiso <>
Soumis le : jeudi 8 juin 2017 - 11:16:30
Dernière modification le : mardi 3 juillet 2018 - 11:39:13
Document(s) archivé(s) le : samedi 9 septembre 2017 - 12:28:22

Fichier

CrossCloud.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01534785, version 1

Citation

Fawaz Paraiso, Stéphanie Challita, Yahya Al-Dhuraibi, Philippe Merle. Towards Model-Driven Multi-Cloud Resource Management. [Research Report] Inria Lille - Nord Europe. 2016. 〈hal-01534785〉

Partager

Métriques

Consultations de la notice

245

Téléchargements de fichiers

129