We design Fogstore, a key-value store for event-based systems, that exploits the concept of
relevance to guarantee low-latency access to relevant data with strong consistency …

This paper proposes a Geo-distributed key-value datastore, named ChainReaction, that
offers causal+ consistency, with high performance, fault-tolerance, and scalability …

Geo-replicated, distributed data stores that support complex online applications, such as
social networks, must provide an" always-on" experience where operations always complete …

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 …

Emerging applications in Internet of Things (IoT) and Cyber–Physical Systems (CPS)
present novel challenges to Big Data platforms for performing online analytics. Ubiquitous …

This paper presents the design, implementation, and evaluation of Saturn, a metadata
service for geo-replicated systems. Saturn can be used in combination with several …

Stream processors are emerging in industry as an apparatus that drives analytical but also
mission critical services handling the core of persistent application logic. Thus, apart from …

Recognition of patterns in event streams has become important in many application areas of
Complex Event Processing (CEP) including financial markets, electronic health-care …

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 …

The CAP theorem is a fundamental result that applies to distributed storage systems. In this
article, we first present and prove two CAP-like impossibility theorems. To state these …