Real-Time Monitoring and Long-Term Analysis by Means of Embedded Systems.
Thilo Noack · 2011
Abstract. This paper sketches an interdisciplinary doctoral research. The main contribution is amongst others the combination of existing approaches for realtime monitoring and long-term analysis. This includes data stream management, event condition action rules, complex event processing as well as data mining technologies. As a practical use case we introduce briefly a scenario related to the failure management system of the International Space Station Columbus Module. Our research is based on three main assumptions and we identify five monitoring requirements. Furthermore, we describe a system model that is known as the state space. Here, the state space represents the knowledge about the monitored target system. Additionally, we present a cyclic monitoring process chain that represents a dynamic and flexible monitoring approach. Our proposed monitoring architecture respects the complexity of system monitoring as well as today’s and future monitoring requirements.