Secrets of successful simulation projects
WSC '95 Proceedings of the 27th conference on Winter simulation
A performance evaluation of storing XML data in relational database management systems
Proceedings of the 3rd international workshop on Web information and data management
Storing and querying ordered XML using a relational database system
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
XML and Object-Relational Database Systems - Enhancing Structural Mappings Based on Statistics
Selected papers from the Third International Workshop WebDB 2000 on The World Wide Web and Databases
A metamodel for federation architectures
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Managing inheritance hierarchies in object/relational mapping tools
CAiSE'05 Proceedings of the 17th international conference on Advanced Information Systems Engineering
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Complex system studies, especially in the aerospace context, where systems are too expensive and too critical to allow real experimentation, make extensive use of simulation. A draw-back of the simulation approach is that, in general, aerospace systems studied are so large that their simulations are quite difficult to develop. Indeed, such a simulation will generally involve simulation components coming from various sources and sharing information. There, one may see two opposite constraints. On the one hand, the simulation components are developed independently from each other (or potentially pre-exist) and hence need to manage on their own the data that they need. On the other hand, overall data consistency has to be ensured in the simulation, especially for shared data. An interesting way to solve this issue consists in structuring the data, i.e. defining a datamodel that will be used as a support to specify all operations relevant to data (access, storage,...): one may see this approach as the application of model-driven methods to the central point of data in a simulation. This paper presents GAMME, a home-made data-centered framework for the development of large-scale simulations, as well as uses of this framework in an ONERA simulation example.