We identify two fundamental points of utilizing CBR for an adaptive agent that tries to learn on the basis of trial and error without a model of its environment. The first link co...
—In this paper, a novel approach for integrating static non-preemptive software scheduling in formal bottom-up performance evaluation of embedded system models is described. The ...
Alexander Viehl, Michael Pressler, Oliver Bringman...
Real-time systems are often designed using preemptive scheduling to guarantee the execution of high priority tasks. For multiple reasons there is a great interest in exploring non...
Recent years have seen the emergence of wireless sensor network systems that must support high data rate and realtime queries of physical environments. This paper proposes Real-Ti...