posted by user: arvinde || 379 views || tracked by 1 users: [display]

SI: Model-Driven Performance Engg in CPS 2025 : IET CPS Theory & Applications, Special Issue: Model-Driven System-Performance Engineering for CPS

FacebookTwitterLinkedInGoogle

Link: https://ietresearch.onlinelibrary.wiley.com/hub/journal/23983396/homepage/call-for-papers/si-2024-000768
 
When Aug 30, 2024 - Nov 1, 2024
Where N/A
Submission Deadline Nov 1, 2024
Categories    CPS   system engineering   model-driven performance
 

Call For Papers

System performance refers to the amount of useful work done by a system within predefined quality constraints. System performance often brings the competitive advantage for cyber-physical systems in domains like autonomous driving, chip manufacturing and production systems in general, healthcare, the smart grid, precision agriculture, and so on. To meet market demands for product and system quality, system customization, and a low total cost of ownership, systems need to meet ever more ambitious targets relating to system performance. Performance is a cross-cutting system-level concern, with intricate relations to other system-level concerns like quality, cost, energy efficiency, security, reliability, and customizability. Model-driven system-performance engineering (MD-SysPE) for CPS is essential to improve time-to-quality and the cost-performance ratio of complex systems.

This special issue invites any contributions in model-driven system-performance engineering for CPS that are of interest to the academic and industrial CPS community at large. Original research papers, industrial applications and case studies, and surveys on relevant topics are welcome.


Topics for this call for papers include but are not restricted to:

Multi-domain modelling, analysis, and optimization of performance aspects
Performance views in system architecture
Modelling and analysis of trade-offs with other system qualities
Modelling and analysis across abstraction levels
Design-space exploration methods
Synthesis methods targeting performance
Scheduling, control in relation to performance
Time-predictable (software) execution
Data-driven performance analysis and optimization
AI methods for performance analysis, optimization, diagnostics
Performance monitoring
Run-time adaptation and optimization
Performance debugging and diagnostics
Model learning for performance
Performance validation, verification, and testing

Submission Site: https://ietresearch.onlinelibrary.wiley.com/hub/journal/23983396/homepage/call-for-papers/si-2024-000768

Related Resources

ICONS 2025   The Twentieth International Conference on Systems
MODELSWARD 2025   13th International Conference on Model-Based Software and Systems Engineering
CPSS 2025   The 11th ACM Cyber-Physical System Security Workshop
MDE4SA 2025   International Workshop on Model-Driven Engineering for Software Architecture
FPVM 2024   3rd International Workshop on Foundations and Practice of Visual Modeling
CoPaMo 2024   International Workshop on Collaborative and Participatory Modeling
MODELS 2024   MODELS 2024 : ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems
LLM 4 MDE & MeSS 2024   1st International Workshop Large Language Models for Model-Driven Engineering & 4th International Workshop on MDE for Smart IoT Systems
Electronics : Special Issue 2024   Combining Model-Based and Data-Driven Methods in Human–Computer Interaction
MoDRE 2024   Workshop on Model-Driven Requirements Engineering (MoDRE) at RE'24