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

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 …

Cloud apps like Google Docs and Trello are popular because they enable real-time
collaboration with colleagues, and they make it easy for us to access our work from all of our …

To minimize network latency and remain online during server failures and network partitions,
many modern distributed data storage systems eschew transactional functionality, which …

Minimizing coordination, or blocking communication between concurrently executing
operations, is key to maximizing scalability, availability, and high performance in database …

Eventual consistency today Page 1 MAy 2013 | VOl. 56 | nO. 5 | CommuNiCatioNS of the aCm 55
Doi:10.1145/2447976.2447992 Article development led by queue.acm.org How can applications …

Geographically distributed systems often rely on replicated eventually consistent data stores
to achieve availability and performance. To resolve conflicting updates at different replicas …

Developers of cloud-scale applications face a difficult decision of which kind of storage to
use, summarised by the CAP theorem. Currently the choice is between classical CP …

Today, data is generated and consumed at unprecedented scale. This has lead to novel
approaches for scalable data management subsumed under the term “NoSQL” database …

Large-scale distributed systems often rely on replicated databases that allow a programmer
to request different data consistency guarantees for different operations, and thereby control …