Continuous Consistency Management in Distributed Real-Time Databases with Multiple Writers of Replicated Data

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.