Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
Process mining is the extraction of a process model from system logs. These logs have to meet minimum requirements, i.e. each event should refer to a case and a task. Many system ...
Monique H. Jansen-Vullers, Wil M. P. van der Aalst...
This paper addresses the problem of component selection, task assignment and task scheduling for distributed embedded computer systems. Such systems have a large number of constra...
User Interfaces for Mobile Processes Sonja Zaplata, Ante Vilenica, Dirk Bade, Christian P. Kunze Distributed Systems and Information Systems, Computer Science Department, Universit...
Sonja Zaplata, Ante Vilenica, Dirk Bade, Christian...
Abstract-- The problem of optimally controlling the processing rate of tasks in Discrete Event Systems (DES) with hard real-time constraints has been solved in [9] under the assump...