Component-based architectures are the traditional approach cile application specific optimization with reusable abstractions in sensor networks. However, they frequently overwhelm ...
In this paper, we consider the problem of supporting fault tolerance for adaptive and time-critical applications in heterogeneous and unreliable grid computing environments. Our g...
— In this paper, we present a novel framework for the automated generation of Network-on-Chips (NoC) architectures, that enables architecture exploration and optimization. The au...
Rendering networks and distributed systems self-managing and self-optimizing has become a major research focus. This task is especially important for systems, such as publish/subsc...
Many successful applications have proven the potential of Learning Classifier Systems and the XCS classifier system in particular in datamining, reinforcement learning, and func...
Patrick O. Stalph, Martin V. Butz, David E. Goldbe...