User-level fine-grained adaptive real-time scheduling via temporal reflection
Authors
NICTA
Sydney
Australia
Abstract
Real-time systems must adapt their behaviour when the timing assumptions they are based on change at run time. A viable approach leading to effective adaptations consists of exploiting application-specific knowledge, but limitations of ordinary schedulers constrain its applicability. In this paper this problem is tackled using a /reflective/ scheduler, which enables a computing system to perform /temporal reflection/, that is to fully observe and control its own temporal behaviour. The scheduler is implemented for the L4 microkernel, and validated by solving a real-time image analysis problem. Compared with other approaches the reflective scheduler is orders of magnitude more precise, achieving microsecond-level accuracy, while its implementation is entirely at user-level, and it does not require any changes to be made to the microkernel itself.
BibTeX Entry
@inproceedings{Ruocco_06a, address = {Rio De Janeiro, Brazil}, author = {Sergio Ruocco}, booktitle = {IEEE Real-Time Systems Symposium}, month = dec, paperurl = {https://trustworthy.systems/publications/papers/Ruocco_06a.pdf}, title = {User-Level Fine-Grained Adaptive Real-Time Scheduling via Temporal Reflection}, year = {2006} }