Partitioning in Avionics Architectures: Requirements, Mechanisms, and Assurance
Partitioning in Avionics Architectures: Requirements, Mechanisms, and Assurance
Feedback Control of Computing Systems
Feedback Control of Computing Systems
Hybrid Supervisory Utilization Control of Real-Time Systems
RTAS '05 Proceedings of the 11th IEEE Real Time on Embedded Technology and Applications Symposium
RTAS '05 Proceedings of the 11th IEEE Real Time on Embedded Technology and Applications Symposium
Energy-Aware Task Allocation for Rate Monotonic Scheduling
RTAS '05 Proceedings of the 11th IEEE Real Time on Embedded Technology and Applications Symposium
Feedback Utilization Control in Distributed Real-Time Systems with End-to-End Tasks
IEEE Transactions on Parallel and Distributed Systems
Conclusions of the ARTIST2 roadmap on control of computing systems
ACM SIGBED Review - Special issue on major international initiatives on real-time and embedded systems
On Controllability and Feasibility of Utilization Control in Distributed Real-Time Systems
ECRTS '07 Proceedings of the 19th Euromicro Conference on Real-Time Systems
An Adaptive Performance Management Method for Failure Detection
SNPD '08 Proceedings of the 2008 Ninth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing
The explicit linear quadratic regulator for constrained systems
Automatica (Journal of IFAC)
Hi-index | 0.00 |
Avionic distributed real-time embedded (DRE) systems execute in open environments where operational conditions, input workload, and resource availability cannot be characterized accurately a prior. We present adaptive resource management architecture for these systems to achieve end-to-end QoS. The architecture contains two loops and adopts bottom-up philosophy to deal with workload/resource variations. The inner loop is established based on feedback control theory, and handles mild variations; while the outer one includes subtask allocation and migration algorithms, to cope with drastic variations.