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QACDes: QoS-aware context-sensitive design of cyber-physical systems
Subhajit Sidhanta1, Chanachok Chokwitthaya2, Yimin Zhu3
1Indian Institute of Technology Kharagpur, Kharagpur, 721302, India. subhajit@iem.iitkgp.ac.in.
This study introduces a new context-aware Quality of Service (QoS) definition for cyber-physical systems (CPS). The proposed framework, QACDes, enables early validation of CPS designs, ensuring robust performance across diverse human interactions and contextual factors.
Area of Science:
- Cyber-Physical Systems (CPS)
- Quality of Service (QoS) Engineering
- Human-Computer Interaction
Background:
- Traditional Quality of Service (QoS) metrics for cyber-physical systems (CPS) are often absolute and fail to account for context-dependent human interactions.
- Evaluating QoS post-development is costly and impractical, especially for systems like critical urban infrastructures where modifications are difficult.
Purpose of the Study:
- To propose a novel, context-aware definition of QoS for CPS that ensures consistent performance regardless of environmental or user interaction changes.
- To introduce QACDes, a framework for formal validation of CPS QoS constraints during the design phase and after system realization.
Main Methods:
- Defined QoS as a function of contextual factors to ensure system robustness.
- Developed the QACDes framework for formal QoS validation.
- Utilized a lighting control system as a use case to demonstrate the effectiveness of the proposed QoS definition and validation framework.
Main Results:
- The context-aware QoS definition ensures systems meet performance guarantees despite variations in contextual factors.
- The QACDes framework allows for validation either before the design phase (model comparison) or after system deployment (log analysis).
- Demonstrated effectiveness using a real-world lighting control system.
Conclusions:
- A context-aware QoS definition is crucial for designing robust and adaptable cyber-physical systems.
- The QACDes framework offers a flexible and effective solution for validating CPS QoS at multiple stages, reducing design and development costs.
- This approach is applicable across various CPS domains, including critical infrastructure and built environments.
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