Data management functionality is not only needed in large-scale server systems, but also in
embedded systems. Resource restrictions and heterogeneity of hardware, however …

Applications in the domain of embedded systems are diverse and store an increasing
amount of data. In order to satisfy the varying requirements of these applications, data …

In the last decade, automotive systems changed from traditional mechanical or
mechatronical systems towards software intensive systems, because more and more …

In this paper, we present a method for model synthesis. Based on observations of running
system, a model that can describe the observed behavior is automatically generated. This …

In this paper, we provide an approach for modeling data variability as part of the overall
software product line modeling approach. Modeling data variability in software product lines …

Wireless sensor networks are used for sensing data if wired communication is not suitable.
Connection losses and depletion of nodes, however, result in reduced data availability of …

The size of the structured query language (SQL) continuously increases. Extensions of SQL
for special domains like stream processing or sensor networks come with own extensions …

Diese Arbeit präsentiert eine echtzeitfähige Hard-und Softwarearchitektur für kognitive
Systeme. Eine leistungsfähige Rechnerplattform mit mehreren Prozessorkernen und-knoten …

In recent years the deployment of embedded systems has increased dramatically, eg in the
domains of sensor networks or ubiquitous computing. At the same time the amount of data …

Data stream management systems (DSMSs) are useful for the management and processing
of continuous data at a high input rate with low latency. In the automotive domain …