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Thesis
Home   /   Post Doctorat   /   Modeling and integrating Local-First Data Types

Modeling and integrating Local-First Data Types

Artificial intelligence & Data intelligence Technological challenges

Abstract

Existing modeling frameworks have limited collaboration capabilities. Collaboration at model level is one of the top desired features as identified in the literature. However, most port of solutions primarily rely on cloud-based and centralized databases as their technological solution. While these solutions ease collaboration among connected partners by employing concurrency control techniques or adopting a "last writer wins" policy, they do not support disconnected collaboration scenarios, which is an important feature for designing local-first sofware. This situation presents a significant compromise: utilizing cloud-based solutions and sacrificing data ownership control versus adopting separate instances and without collaborative capabilities. The objective of this postdoctoral project is to contribute and extend an existing local-first Model-Based Systems Engineering (MBSE) framework, related to this work [5], built upon specialized Conflict-free Replicated Data Types (CRDTs). The goal is to enable real-time collaboration through modeling-specific CRDTs. The proposed approach involves extending a middleware layer utilizing CRDTs to seamlessly synchronize distributed, offline-capable engineering models.

Laboratory

Département Ingénierie Logiciels et Systèmes (LIST)
LSEA (DILS)
Labo.conception des systèmes embarqués et autonomes
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