Reference : A Native Versioning Concept to Support Historized Models at Runtime
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/18688
A Native Versioning Concept to Support Historized Models at Runtime
English
Hartmann, Thomas mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Fouquet, François mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Nain, Grégory mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Morin, Brice mailto [SINTEF ICT Norway]
Klein, Jacques mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Barais, Olivier mailto []
Le Traon, Yves mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
2014
1st
Model-Driven Engineering Languages and Systems - 17th International Conference, MODELS 2014, Valencia, Spain, September 28 - October 3, 2014. Proceedings
Dingel, Juergen
Schulte, Wolfram
Ramos, Isidro
Abrahao, Silvia
Insfran, Emilio
Springer
252-268
Yes
No
International
978-3-319-11652-5
17th International Conference on Model Driven Engineering Languages and Systems (MODELS 2014)
28-09-2014 to 03-10-2014
Universitat Politécnica de València
Valencia
Spain
[en] Models@run.time ; Model-driven engineering ; Model versioning ; Historized models
[en] Models@run.time provides semantically rich reflection layers enabling intelligent systems to reason about themselves and their surrounding context. Most reasoning processes require not only to explore the current state, but also the past history to take sustainable decisions e.g. to avoid oscillating between states. Models@run.time and model-driven engineering in general lack native mechanisms to efficiently support the notion of history, and current approaches usually generate redundant data when versioning models, which reasoners need to navigate. Because of this limitation, models fail in providing suitable and sustainable abstractions to deal with domains relying on history-aware reasoning. This paper tackles this issue by considering history as a native concept for modeling foundations. Integrated, in conjunction with lazy load/storage techniques, into the Kevoree Modeling Framework, we demonstrate onto a smart grid case study, that this mechanisms enable a sustainable reasoning about massive historized models.
Researchers ; Professionals
http://hdl.handle.net/10993/18688
10.1007/978-3-319-11653-2_16
The research leading to this publication is supported by the National Research Fund Luxembourg (grant 6816126) and Creos Luxembourg S.A. under the SnT-Creos partnership program.

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
Models14-author-preprint-270614.pdfPublisher postprint459.1 kBView/Open

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.