Good news everyone! Our paper “Automated Derivation of Application Workload Models for Design Space Exploration of Industrial Distributed Cyber-Physical Systems” won the Best Paper Award at the 7th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS). This is an impressive feat, especially considering that it is the first paper first-authored by Faezeh Saadatmand, PhD student at Leiden University. Congratulations Faezeh!
The paper tackles an urgent issue: the growing complexity of industrial cyber-physical systems, which is driving up development and maintenance costs. As these systems incorporate more functions, the number of hardware and software components increases rapidly, making it harder to analyze and optimize their performance. Model-based methodologies have been proposed as a means to manage complexity and increase productivity of engineers by using models as a base for specification, communication, analysis, and synthesis of artifacts like documentation, simulation models, and code. But who is going to make models of systems with tens of compute nodes and hundreds of software processes, especially when increased customization results in a unique configuration for each manufactured system? This research addresses this need by introducing an automatic method for deriving an application workload model. This model, based on trace analysis, captures computation and communication activities within an application in a timing-agnostic manner. The method was validated through a case study on an ASML Twinscan lithography machine, showing high accuracy in representing real application workloads.
This paper is a result from the Design Space Exploration 2.0 (DSE2.0) project, one of four academic projects co-funded by TNO-ESI and NWO as a part of the Mastering Complexity (MasCot) program.