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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 - 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.
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Submitted on : Thursday, June 8, 2017 - 11:16:30 AM
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  • HAL Id : hal-01534785, version 1


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⟩



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