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
2 Université de Lille, Sciences et Technologies
3 Scalair

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.

Mots clés: Multi-Cloud; Cloud computing; General Terms Systems; Multi-Cloud; Resource; Resource Management; Model; Docker

Domaines: Modélisation et simulation

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⟩