With the rapid development of distributed transactional databases in recent years, there is
an urgent need for fair performance evaluation and comparison. Though there are various …

Agriculture plays a critical role in society, providing sustenance, contributing to economic
growth, and addressing global hunger and malnutrition challenges. However, the …

Time series databases are essential for the large-scale deployment of many critical
industrial applications. In infrastructure monitoring, for instance, a database system should …

Emerging domains, such as sensor-driven smart spaces and social media analytics, require
incoming data to be enriched prior to its use. Enrichment often consists of machine learning …

Time series database systems (TSDBs) are prevalent in many applications ranging from
monitoring and IoT devices to scientific research. Those systems are specifically designed to …

User Experience (UX) is affected by users' emotions and motivations, among other
subjective factors. Hence, changes in UX occur over time, according to the different contexts …

Data regulations, such as GDPR, are increasingly being adopted globally to protect against
unsafe data management practices. Such regulations are, often ambiguous (with multiple …

Current approaches of enforcing FGAC in Database Management Systems (DBMS) do not
scale in scenarios when the number of policies are in the order of thousands. This paper …

This paper presents Sentaur, a middleware designed, built, and deployed to support sensor-
based smart space analytical applications. Sentaur supports a powerful data model that …

The European project URBANITE (Supporting the decision-making in URBAN
transformation with the use of disruptive Technologies) aims to put in place a sustainable …