In cloud computing environments, data storage systems often rely on optimistic replication to
provide good performance and availability even in the presence of failures or network …

In cloud computing environments, a large number of users access data stored in highly
available storage systems. To provide good performance to geographically disperse users …

Causal consistency is an intermediate consistency model that can be achieved together with
high availability and high-performance requirements even in presence of network partitions …

Wide-area replicated storage systems are increasingly popular, despite significant
shortcomings. Such systems allow for geographic placement of replicas near clients at a …

Causally consistent distributed storage systems have received significant attention due to
the potential for providing high throughput. Global stabilization is a technique established for …

Causal consistency (CC) is an attractive consistency model for geo-replicated data stores
because it hits a sweet spot in the ease-of-programming versus performance trade-off. We …

Version vectors (VV) are used pervasively to track dependencies between replica versions
in multi-version distributed storage systems. In these systems, VV tend to have a dual …

Modern replicated data stores aim to provide high availability, by immediately responding to
client requests, often by implementing objects that expose concurrency. Such objects, for …

Cloud computing is a general term that involves delivering hosted services over the Internet.
With the accelerated growth of the volume of data used by applications, many organizations …

Replication protocols in distributed storage systems are fundamentally constrained by the
finite propagation speed of information, which necessitates trade-offs among performance …