Real-time intelligent video processing on embedded devices with low power consumption can be useful for applications like drone surveillance, smart cars, and more. However, the limited resources of is a challenging issue effective computing. Most existing work this topic focuses single device based solutions, without use cloud computing mechanisms parallel to boost performance. In paper, we pro...

The study of flaring astrophysical events in the multi-messenger approach requires instantaneous follow-up observations to better understand nature these through complementary observational data. We present Astro-COLIBRI as a platform that integrates specific tools real-time ecosystem. bundles and evaluates alerts about transients from various channels. It further automates coordination by prov...

Linked Open Data has increased the availability of semantic data, including huge flows of real-time information from many sources. Processing systems must be able to cope with such incoming data, while simultaneously providing efficient access to a live data store including both this growing information and pre-existing data. The SOLID architecture has been designed to handle such workflows, ma...

Understanding the performance and dynamic behavior of workflow is crucial in being able to modify, maintain, and improve it. A particularly difficult aspect of measuring the performance of workflows is the dissemination of event data and its transformation into business metrics. In this paper we introduce an architecture that supports a continuous integration of event data from various source s...