We present a parameter inference algorithm for autonomous stochastic linear hybrid systems, which computes a maximum-likelihood model, given only a set of continuous output data of...
Abstract. An important class of soft real-time applications require dynamic allocation of computational resources in order to comply with their quality of service (QoS) requirement...
Dynamic real-time systems require adaptive resource management to accommodate varying processing needs. We address the problem of resource management with multiple shared resource...
This work considers the problem of minimizing the power consumption for real-time scheduling on processors with discrete operating modes. We provide a model for determining the ex...
Estimation of distribution algorithms (EDAs) are widely used in stochastic optimization. Impressive experimental results have been reported in the literature. However, little work ...