Adaptive granular concurrency control for replicated collaborative feature modeling

A good concurrency control method that maximizes the operational parallelism while prevents conflicts of simultaneous manipulations is vital for cooperative design systems and still a challenge. We propose an adaptive granular concurrency control approach for the replicated collaborative feature modeling based on the feature dependency directed acyclic graph (FDAG). According to the varying design contexts, an adaptive granularity for concurrent manipulations is determined dynamically by the FDAG of the replicated model to avoid concurrent regeneration conflicts. A prototype is realized on a real-time collaborative design system consisting of heterogeneous CAD systems. The preliminary results show that the approach proposed is promising.