Using Feature Modelling and Automations to Select among Cloud Solutions

Clément Quinton 1 Laurence Duchien 1, 2, 3 Patrick Heymans 1, 2, 4 Stéphane Mouton 5 Etienne Charlier 5
1 ADAM - Adaptive Distributed Applications and Middleware
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe
4 PReCISE
Université de Lille, Sciences et Technologies, PReCISE - PReCISE Research Centre in Information Systems Engineering
Abstract : Cloud computing is a major trend in distributed computing environments. Resources are accessed on demand by customers and are delivered as services by cloud providers in a pay-per-use model. Companies provide their applications as services and rely on cloud providers to provision, host and manage such applications on top of their infrastructure. However, the wide range of cloud solutions and the lack of knowledge in this domain is a real problem for companies when facing the cloud solution choice. In this paper, we propose to use Software Product Line Engineering (SPLE) and Feature Model (FM) configuration to develop a decision-supporting tool. Using such modelling techniques and automations, this tool takes into consideration the application technical requirements as well as the user quality requirements to provide an accurate result among cloud solutions that best fits both requirements.
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Communication dans un congrès
PLEASE - 3rd International Workshop on Product LinE Approaches in Software Engineering - 2012, Jun 2012, Zurich, Switzerland. pp.17-20, 2012
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Soumis le : mercredi 9 mai 2012 - 11:16:09
Dernière modification le : jeudi 11 janvier 2018 - 06:22:13
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Clément Quinton, Laurence Duchien, Patrick Heymans, Stéphane Mouton, Etienne Charlier. Using Feature Modelling and Automations to Select among Cloud Solutions. PLEASE - 3rd International Workshop on Product LinE Approaches in Software Engineering - 2012, Jun 2012, Zurich, Switzerland. pp.17-20, 2012. 〈hal-00695401〉

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