Over the years, different meanings have been associated with the word consistency in the
distributed systems community. While in the'80s “consistency” typically meant strong …

The CAP theorem asserts that any networked shared-data system can have only two of three
desirable properties. However, by explicitly handling partitions, designers can optimize …

Serverless computing greatly simplifies the use of cloud resources. In particular, Function-as-
a-Service (FaaS) platforms enable programmers to develop applications as individual …

Serverless computing is an emerging paradigm that greatly simplifies the usage of cloud
resources and suits well to many tasks. Most notably, Function-as-a-Service (FaaS) enables …

What opportunities for multicore scalability are latent in software interfaces, such as system
call APIs? Can scalability challenges and opportunities be identified even before any …

In globally distributed systems, shared state is never perfect. When communication is neither
fast nor reliable, we cannot achieve strong consistency, low latency, and availability at the …

To ensure high availability in large scale distributed systems, Conflict-free Replicated Data
Types (CRDTs) relax consistency by allowing immediate query and update operations at the …

Eventually consistent storage systems give up the ACID semantics of conventional
databases in order to gain better scalability, higher availability, and lower latency. A side …

Eventual consistency of replicated data supports concurrent updates, reduces latency and
improves fault tolerance, but forgoes strong consistency. Accordingly, several cloud …

Large-scale key-value storage systems sacrifice consistency in the interest of dependability
(ie, partitiontolerance and availability), as well as performance (ie, latency). Such systems …