Abstract

This paper presents an approach, GCF, which addresses several of these limitations. Individual model sharing and exibility in composition and deployment is achieved by imposing some lightweight development rules for single models and capturing information relating to the models themselves, to their composition into coupled models and to their deployment onto computational resources, as machine readable metadata. This metadata can be processed to support the generation of an implementation of the coupled model required by the developer. For example, lean and ecient framework code for the speci c coupled model and deployment described by the developer can be generated. Alternatively, GCF-compliant models can be automatically adapted for use within other, existing frameworks. This paper presents the design and implementation of a basic framework generator to achieve the former, and the exibility in the composition of GCF-compliant models provided by its use is demonstrated

Citations