We consider a set of control tasks sharing a CPU and having stochastic execution requirements. Each task is associated with a deadline: when this constraint is violated the particular execution is dropped. Different choices of the scheduling parameters correspond to a different probability of deadline violation, which can be translated into a different level for the Quality of Control experienced by the feedback loop. For a particular choice of the metric quantifying the global QoC, we show how to find the optimal choice of the scheduling parameters. Copyright © 2013 ACM.

Optimal CPU allocation to a set of control tasks with soft real-time execution constraints

Fontanelli, Daniele;Palopoli, Luigi;
2013-01-01

Abstract

We consider a set of control tasks sharing a CPU and having stochastic execution requirements. Each task is associated with a deadline: when this constraint is violated the particular execution is dropped. Different choices of the scheduling parameters correspond to a different probability of deadline violation, which can be translated into a different level for the Quality of Control experienced by the feedback loop. For a particular choice of the metric quantifying the global QoC, we show how to find the optimal choice of the scheduling parameters. Copyright © 2013 ACM.
2013
Proceedings of the 16th international conference on Hybrid systems: computation and control - HSCC '13
Philadelphia, USA
ACM
9781450315678
Fontanelli, Daniele; Palopoli, Luigi; Greco, L.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/66687
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