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  1. Proceedings of the Second Nordic Symposium on Cloud Computing & Internet Technologies (NordiCloud '13)
  2. Managing multi-cloud systems with CloudMF
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NordiCloud 2013: a Nordic and Baltic gathering for supporting cloud computing and internet technologies
Cloud brokerage: a key enabler for widespread cloud usage
CLOUDs: hype, problems and opportunities
Secure cloud storage for remote mobile data collection
A secure OSGi environment for untrusted web applications
Distributed testing of cloud computing applications using the TTCN-3-based Jata test framework
Developing migratable multicloud applications based on MDE and adaptation techniques
Managing multi-cloud systems with CloudMF
A vision for a stochastic reasoner for autonomic cloud deployment
Real-time scheduling in cloud-based virtualized software systems
Engineering virtualized services
Clustering on the cloud: reducing CLARA to MapReduce
Perspectives and reflections on cloud computing and internet technologies from NordiCloud 2012

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Managing multi-cloud systems with CloudMF

Content Provider ACM Digital Library
Author Rossini, Alessandro Solberg, Arnor Morin, Brice Ferry, Nicolas Chauvel, Franck
Abstract Dynamically adaptive systems (DAS) enable the continuous design and adaptation of complex software systems, but their main focus is limited to the application itself rather than the underlying platform and infrastructure. Cloud computing, in contrast, enables the management of the complete software stack, but it lacks integration with software engineering approaches, techniques, and methods from DAS. Model-based approaches have been successfully adopted for modelling DAS at design-time and facilitate their adaptation at run-time. Therefore, a natural next step is to adopt model-based approaches to enable cloud-based DAS. In this paper, we present the Cloud Modelling Framework (CloudMF), a model-based framework that addresses this issue. It consists of (i) a tool-supported domain-specific modelling language to model the provisioning and deployment of multi-cloud systems, and (ii) a models@run-time environment for enacting the provisioning, deployment and adaptation of these systems.
Starting Page 38
Ending Page 45
Page Count 8
File Format PDF
ISBN 9781450323079
DOI 10.1145/2513534.2513542
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-09-02
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Model-driven engineering Cloud computing Models@run-time Domain-specific modelling language Deployment Dynamic adaptation Provisioning
Content Type Text
Resource Type Article
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