Hard Real-Time Computing Systems: Predictable Scheduling Algorithms and Applications
Hard Real-Time Computing Systems: Predictable Scheduling Algorithms and Applications
Elastic Task Model for Adaptive Rate Control
RTSS '98 Proceedings of the IEEE Real-Time Systems Symposium
Skip-Over: Algorithms and Complexity for Overloaded Systems that Allow Skips
Skip-Over: Algorithms and Complexity for Overloaded Systems that Allow Skips
QoS Control Strategies for High-Quality Video Processing
ECRTS '04 Proceedings of the 16th Euromicro Conference on Real-Time Systems
QoS control for optimality and safety
Proceedings of the 5th ACM international conference on Embedded software
Symbolic quality control for multimedia applications
Real-Time Systems
Journal of Systems Architecture: the EUROMICRO Journal
ACM Transactions on Embedded Computing Systems (TECS)
Towards self-adaptive KPN applications on NoC-based MPSoCs
Advances in Software Engineering
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We propose a method for fine grain QoS control of dataflow applications. We assume that the application software is described as the composition of actions (C-functions) with quality level parameters. The method allows to compute a QoS controller from this description, and average execution times, worst case execution times and deadlines for its actions. The controller computes dynamically feasible schedules and quality assignments for their actions. Furthermore, the control policy ensures optimal time budget utilization. A prototype tool implementing the method is shown as well as experimental results for a non trivial example. The results show the interest of fine grain QoS control for video encoders.