User-facing online services utilize geo-distributed data stores to minimize latency and
tolerate partial failures, with the intention of providing a fast, always-on experience …

Client-side apps (eg, mobile or in-browser) need cloud data to be available in a local cache,
for both reads and updates. For optimal user experience and developer support, the cache …

We propose Lasp, a new programming model designed to simplify large-scale distributed
programming. Lasp combines ideas from deterministic dataflow programming together with …

Geo-replicated databases often offer high availability and low latency by relying on weak
consistency models. The inability to enforce invariants across all replicas remains a key …

We propose Lasp, a novel programming model aimed to simplify correct, large-scale,
distributed programming. Lasp leverages ideas from distributed dataflow programming …

Replication has been widely adopted to build highly scalable services, but this goal is often
compromised by the coordination required to ensure application-specific properties such as …

Abstract 'Consistency'is an 'inconsistency'are ubiquitous term in data engineering. Its
relevance to quality is obvious, since 'consistency'is a commonplace dimension of data …

Geo-replicated systems present a range of consistency semantics spanning from weak to
strong consistency. Systems with strong consistency have prohibitive coordination …

This work introduces GeoD and VersionD. GeoD is a causally-consistent georeplication
shim for key-value stores. GeoD enables the separation of concerns regarding replication …