Migration-Aware Multi-Core Real-Time Executive
Start date: 11. August 2020
This research proposal investigates the predictability of task migration in multi-core real-time systems. Therefore, we propose , a migration- aware real-time executive where migration decisions are no longer based on generic performance parameters but systematically deduced on application-specific knowledge of the real-time tasks. These so-called migration hints relate to temporal and spatial aspects of real-time tasks; they mark potential migration points in their non- sequential (multi-threaded) machine programs. Migration hints enable the operating system to reach decisions that have the most favorable impact on the overall predictability and system performance. The proposal assumes that application-specific hints on admissible and particularly favorable program points for migration represent a cost- effective way to leverage multi-core platforms with existing real-time systems and scheduling techniques. The object of investigation is multi-core platforms with heterogeneous memory architectures. The focus is on the worst-case overhead caused by migration in such systems, mainly depending on the current size and location of the real-time tasks' resident core-local data. This data set, which varies in size over execution time, is determined using tool-based static analysis techniques that derive usable migration hints at design time. In addition, the proposal develops migration-aware variants of standard real-time operating systems, which provide specialized interfaces and mechanisms to utilize these migration hints as favorable migration points at runtime to provide predictable migrations and optimize the overall schedulability and performance of the system.