The Real Time Distributed Systems Lab is focused on modeling and designs of systems. The objective of modeling is to capture the system (dynamic) behaviors in the most accurate yet compact forms, so that they can be used for optimization of the system design and operation. Started from the stochastic modeling paradigm, our modeling work is expanded to real-time data based modeling paradigm using proper control theories, and signal processing techniques. We are particularly interested in attacking issues that require cross cutting solution techniques, where high level behaviors would be characterized by stochastic models and low level features would be captured by multi-resolution filtering techniques. For more information please visit the RTDS website. To see the complete list of research highlighted in this section, click here.