Towards Model-Driven Multi-Cloud Resource ...
Document type :
Rapport de recherche: Autre communication scientifique (congrès sans actes - poster - séminaire...)
Title :
Towards Model-Driven Multi-Cloud Resource Management
Author(s) :
Paraiso, Fawaz [Auteur]
Self-adaptation for distributed services and large software systems [SPIRALS]
Challita, Stéphanie [Auteur]
Self-adaptation for distributed services and large software systems [SPIRALS]
Université de Lille, Sciences et Technologies
Al-Dhuraibi, Yahya [Auteur]
Self-adaptation for distributed services and large software systems [SPIRALS]
Scalair
Merle, Philippe [Auteur]
Self-adaptation for distributed services and large software systems [SPIRALS]
Self-adaptation for distributed services and large software systems [SPIRALS]
Challita, Stéphanie [Auteur]
Self-adaptation for distributed services and large software systems [SPIRALS]
Université de Lille, Sciences et Technologies
Al-Dhuraibi, Yahya [Auteur]
Self-adaptation for distributed services and large software systems [SPIRALS]
Scalair
Merle, Philippe [Auteur]

Self-adaptation for distributed services and large software systems [SPIRALS]
Institution :
Inria Lille - Nord Europe
Publication date :
2016-02-15
English keyword(s) :
Multi-Cloud
Cloud computing
General Terms Systems
Resource
Resource Management
Model
Docker
Cloud computing
General Terms Systems
Resource
Resource Management
Model
Docker
HAL domain(s) :
Informatique [cs]/Modélisation et simulation
English abstract : [en]
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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
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