Distributed applications are traditionally developed as separate modules, often in different
languages, which react to events, like user input, and in turn produce new events for the …

The reactive programming paradigm aims to simplify the development of reactive systems. It
provides abstractions to define time-changing values that are automatically updated by the …

In this paper, we present a holistic approach to provide fault tolerance for distributed reactive
programming. Our solution automatically stores and recovers program state to handle …

Ubiquitous connectivity of web, mobile, and IoT computing platforms has fostered a variety of
distributed applications with decentralized state. These applications execute across multiple …

The problem of pollution of surface water affects all countries of the world. The main sources
of pollution of water objects in agricultural areas are the surface runoff from cultivated lands …

While signals can express time-varying values well, they heavily rely on the semantics of
dataflow programming and functional programming. Several research have developed …

Programming models for building large-scale distributed applications assist the developer in
reasoning about consistency and distribution. However, many of the programming models …

Reactive programming is a recent programming paradigm that specifically targets reactive
applications. Over the years, a number of reactive languages have been proposed, with …

Biclustering is considered as the method of finding two-dimensional subgroups in a matrix of
scalars. The paper introduces a new approach to biclustering continuous matrices on the …

The paper presents research on the performance of reactive processing in the Java
ecosystem where persistent data sources (both SQL and NoSQL) were used as one single …