This paper proposes a comprehensive modeling architecture for workloads on parallel computers using Markov chains in combination with state dependent empirical distribution functi...
There have been several research works that analyze and optimize programs using temporal logic. However, no evaluation of optimization time or execution time of these implementati...
This paper proposes energy efficient real-time multi-task scheduling (EDF and RM) algorithms by using buffers. The buffering technique overcomes a drawback of previous approaches ...
We combine Bayesian online change point detection with Gaussian processes to create a nonparametric time series model which can handle change points. The model can be used to loca...
Abstract. We report on the use of model checking techniques for both the verification of a process control program and the derivation of optimal control schedules. Most of this wor...