A Comparison of Two-Level and Multi-level Modelling for Cloud-Based Applications
EntityUAM. Departamento de Ingeniería Informática
PublisherSpringer International Publishing
10.1007/978-3-319-21151-0_2Modelling Foundations and Applications: 11th European Conference, ECMFA 2015, Held as Part of STAF 2015, L`Aquila, Italy, July 20-24, 2015. Proceedings. Lecture Notes in Computer Science, Volume 9153. Springer, 2015. 18-32
ISBN978-3-319-21150-3 (print); 978-3-319-21151-0 (online)
Funded byThe research leading to these results has received funding from the European Commission’s Seventh Framework Programme (FP7/2007-2013) under grant agreement numbers 317715 (PaaSage), 318392 (Broker@Cloud), and 611125 (MONDO), the Spanish Ministry under project Go Lite (TIN2011-24139), and the Madrid Region under project SICOMORO (S2013/ICE-3006).
Projectinfo:eu-repo/grantAgreement/EC/FP7/317715; info:eu-repo/grantAgreement/EC/FP7/318392; info:eu-repo/grantAgreement/EC/FP7/611125; Gobierno de España. TIN2011-24139; Comunidad de Madrid. S2013/ICE-3006/SICOMORO
SubjectsDomain-Specific Languages; Metamodelling; Multi-level modelling; Multilevel reasoning; Cloud computing; CloudMF; CloudML; MetaDepth; Informática
NoteThe final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-21151-0_2
Rights© Springer-Verlag Berlin Heidelberg 2015
The Cloud Modelling Framework (CloudMF) is an approach to apply model-driven engineering principles to the specification and execution of cloud-based applications. It comprises a domain-specific language to model the deployment topology of multi-cloud applications, along with a models@run-time environment to facilitate reasoning and adaptation of these applications at run-time. This paper reports on some challenges encountered during the design of CloudMF, related to the adoption of the two-level modelling approach and especially the type-instance pattern. Moreover, it proposes the adoption of an alternative, multi-level modelling approach to tackle these challenges, and provides a set of criteria to compare both approaches.
Google Scholar:Rossini, Alessandro - Lara Jaramillo, Juan de - Guerra Sánchez, Esther - Nikolov, Nikolay
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