Current collaborative modeling tools use a centralized architecture, based on version control system, where models are updated asynchronously. These tools depend on a single server and are not completely adapted for collaborative modeling, where update reactivity is essential. In this paper, we propose a framework for building collaborative modeling tools which provides synchronous model update. The framework is based on a peer-to-peer architecture and uses a consistency algorithm for model updating.
CITATION STYLE
Sunyé, G. (2017). Model consistency for distributed collaborative modeling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10376 LNCS, pp. 197–212). Springer Verlag. https://doi.org/10.1007/978-3-319-61482-3_12
Mendeley helps you to discover research relevant for your work.