Abstract Replicating data under Eventual Consistency (EC) allows any replica to accept
updates without remote synchronisation. This ensures performance and scalability in large …

Eventual consistency aims to ensure that replicas of some mutable shared object converge
without foreground synchronisation. Previous approaches to eventual consistency are ad …

Internet-scale distributed systems often replicate data at multiple geographic locations to
provide low latency and high availability, despite node and network failures. Geo-replicated …

Many applications model their data in a general-purpose storage format such as JSON. This
data structure is modified by the application as a result of user input. Such modifications are …

For distributed applications requiring collaboration, responsive and transparent interactivity
is highly desired. Though such interactivity can be achieved with optimistic replication …

Peer-to-peer systems provide scalable content distribution for cheap and resist to
censorship attempts. However, P2P networks mainly distribute immutable content and …

Online services often use replication for improving the performance of user-facing services.
However, using replication for performance comes at a price of weakening the consistency …

Data replication is used in distributed systems to maintain up-to-date copies of shared data
across multiple computers in a network. However, despite decades of research, algorithms …

Conflict-Free Replicated Data Types (CRDTs) support decentralized collaborative editing of
shared data, enabling peer-to-peer sharing and flexible branching and merging workflows …

It is often claimed that Conflict-free Replicated Data Types (CRDTs) ensure consistency of
replicated data in peer-to-peer systems. However, peer-to-peer systems usually consist of …