Even Fitter 4 Future
Challenges in Scalable Execution Architectures for High-Tech Systems
High-tech systems demand scalable execution architectures as software grows more concurrent and performance-sensitive. Engineers must ensure responsiveness and integration on platforms never designed for modern workloads. This is critical in semiconductor manufacturing and embedded systems, where long hardware lifespans meet rapid software evolution. Today’s systems feature complexity, parallelism, real-time needs, and modular deployment. Many commonly used execution architectures are based on distributed designs that combine embedded and server-class hardware, and were not built to meet the software demands of the future. The result is a growing gap between the capabilities of these platforms and the evolving behavior of the software.
Asynchronous development cycles intensify the challenge
This misalignment is worsened by asynchronous development cycles: hardware upgrades occur every 5 to 10 years, while software evolves continuously. As control loops become more intensive and embedded modeling tasks more demanding, existing platforms often fall short in terms of system performance—not due to a lack of raw computing power, but because of an architectural mismatch. Bottlenecks, reduced system slack, and limited diagnosability are increasingly common.
The Even-Fitter4Future en Fit4Future Projects
Even-Fitter4Future and Fit4Future address this challenge by investigating execution architectures that are scalable, diagnosable, and prepared for next-generation workloads. They build on the DSE 2.0 method, originally developed in the MASCOT program, and extend it with additional perspectives such as container-based deployment, startup-time parallelism, and scheduler-aware performance modeling. The goal is to determine how software evolution influences platform design—and vice versa. Can modern workloads effectively utilize centralized or hybrid platforms? Which architectural trade-offs best preserve system slack and maintainability throughout the system life cycle?