Recently, video database management systems (VDBMSs) have re-emerged as an active
area of research and development. To accelerate innovation in this area, we present Visual …

In recent years, there has been a convergence of Big Data (BD), High Performance
Computing (HPC), and Machine Learning (ML) systems. This convergence is due to the …

Purpose This paper aims to provide a process-driven scientific data quality (DQ) monitoring
framework by information product map (IP-Map) in identifying the root causes of poor DQ …

Ingesting event data into a data warehouse, including: receiving first event data comprising
a plurality of first records each describing an event of a plurality of events occurring within a …

One of the important features of any real-time software is the worst-case execution time
(WCET). To get an understanding of the timing behavior of real-time systems and to prove …

Data generation and collection is a continuous process throughout the world. It is going to
be difficult to handle various challenges that arise because of various categories of data …

Real-time systems are widely used from the automotive industry to the aerospace industry.
The scientists, researchers, and engineers who develop real-time platforms, worst-case …

Recommender Systeme unterstützen aus einem Angebot von Diensten und Produkten auf
bspw. Verkaufs-oder Unterhaltungsplattformen, diejenigen zu finden, die die persönlichen …

While the ability to access a small fraction of data records from a large volume of scientific
datasets is vital to accelerate scientific discovery, existing parallel file systems face serious …

The term Big Data describes the modern techniques and technologies to capture, store,
distribute, manage and analyze more than exabyte or a very large-sized datasets with …