We introduce a continuous convergence protocol for handling locally committed and possibly conflicting updates to replicated data. The protocol supports local consistency and predictability while allowing replicas to deterministically diverge and converge as updates are committed and replicated. We discuss how applications may exploit the protocol characteristics and describe an implementation where conflicting updates are detected, qualified by a partial update order, and resolved using application-specific forward conflict resolution.
Presentation vid:[13th International] Workshop on Parallel and Distributed Real-Time Systems 2005 (WPDRTS05)April 4th and 5th, 2005, Denver, Coloradohttp://homepage.cs.uri.edu/~cingiser/wpdrts05/http://homepage.cs.uri.edu/~cingiser/wpdrts05/presentations/Gustavsson.pdf