The temporal correlation of data in a multirate system

Evariste Ntaryamira (1) , Cristian Maxim (2) , Liliana Cucu-Grosjean (1)

1 KOPERNIC - Adapter le raisonnement pire cas à différentes criticités
2 IRT SystemX

Technologies within embedded real-time systems are continuously evolving making them intelligent; at some point they can achieve targeted functions autonomously. Such systems are extended with capability of sensing the surrounding environment and deciding on their own. In addition to the feasible scheduling policy, the correctness of such decisions highly depends on the quality of the used input data. Thereby, the data management within such systems must fulfill some properties in order to guarantee their correct functioning. In this paper we address the problem of data temporal correlation and validity when the system scheduling properties are defined. We present preliminary results on expected properties of the architectures and underline future work.

Mots clés: Data; Scheduling; Real-time

Domaines: Algorithme et structure de données [cs.DS]; Base de données [cs.DB]; Calcul parallèle, distribué et partagé [cs.DC]; Systèmes embarqués

Evariste Ntaryamira, Cristian Maxim, Liliana Cucu-Grosjean. The temporal correlation of data in a multirate system. RTNS'2019 - 27th International Conference on Real-Time Networks and Systems, Nov 2019, Toulouse, France. ⟨hal-02362858⟩