An Empirical Study of Observations, Triggers, and Alternatives for Consistency Preservation in Cyber-Physical Systems
|
Typ | Bachelorarbeit |
|---|---|---|
| Aushang | ObsTrigAlt.pdf | |
| Betreuer | Wenden Sie sich bei Interesse oder Fragen bitte an: Raziyeh Dehghani (E-Mail: raziyeh.dehghani@kit.edu) |
Motivation
In cyber-physical systems, observations occur in varied contexts, with some data reflecting real-time, time-dependent changes and other data remaining stable over time. Ensuring accurate mapping of these observations to software and physical models helps maintain system coherence, as models must dynamically align with real-time events. This thesis focuses on investigating observations, triggers, and practical alternatives for propagating inconsistencies within these systems. Through an empirical study of industrial and academic cases, this research will explore real-world scenarios to identify effective mechanisms for maintaining consistency, addressing both immediate and persistent inconsistencies across digital and physical components. The study aims to advance our understanding of how to manage and propagate inconsistencies in cyber-physical systems, supporting both real-time and stable system integrity.
Tasks
- Empirical Study Design (including data collection methods)
- Collect and Analyze Data (focusing on identifying common observations, triggers, patterns, anomalies, and events that affect consistency along with the alternatives for propagating the inconsistencies)
- Compare Findings with Existing Theoretical Frameworks and Models
Benefits
- Working with cutting-edge and innovative technologies
- Close connection to on-going/current research project
- Excellent working environment and intensive support