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Challenges for Automatic Multi-Cloud Configuration

Abstract : Multi-cloud computing enables customers to exploit benefits of different cloud provi-ders to optimize reliability, performance and costs. Meanwhile, using multiple cloud providers reduces the risk of vendor lock-in as customers reduce their reliance on provider specific fea-tures. However, the large number of available cloud provider offerings and the differences among them makes it very complex to choose the best combination of cloud providers to deploy an application. Feature models from Software Product Line Engineering have been used to describe variability in cloud provider offerings and automatically generate valid cloud config-urations. In this paper we explore the challenges that must be faced to extend the use of feature models to automatically configure multi-cloud environments.
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https://hal.inria.fr/hal-01093220
Contributor : Gustavo Sousa <>
Submitted on : Wednesday, December 17, 2014 - 8:31:44 AM
Last modification on : Saturday, December 12, 2020 - 6:08:02 PM
Long-term archiving on: : Saturday, April 15, 2017 - 6:46:19 AM

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  • HAL Id : hal-01093220, version 1

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Gustavo Sousa, Walter Rudametkin, Laurence Duchien. Challenges for Automatic Multi-Cloud Configuration. JLDP 14 - Journée Lignes de Produits, Dec 2014, Luxembourg, Dec 2014, Luxembourg, Luxembourg. ⟨hal-01093220⟩

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