Leakage-Aware Battery Lifetime Analysis Using the Calculus of Variations

Jafari-Nodoushan, Mostafa; Safaei, Bardia; Ejlali, Alireza; Chen, Jian-Jia

doi:10.1109/tcsi.2020.3001064

Cited by 7 publications

(1 citation statement)

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“…T i and C i denote the period and WCET of the task τ i . The deadline of a task (d i ) is equal to its period [42]. According to the criticism of an MC system formal model, which is mentioned in [16], and [41], dropping LCTs (except for non-criticality tasks) in favor of HCTs is not a suitable protection mechanism in industrial applications.…”

Section: A Task Modelmentioning

confidence: 99%

FANTOM: Fault Tolerant Task-Drop Aware Scheduling for Mixed-Criticality Systems

et al. 2020

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Mixed-Criticality (MC) systems have emerged as an effective solution in various industries, where multiple tasks with various real-time and safety requirements (different levels of criticality) are integrated onto a common hardware platform. In these systems, a fault may occur due to different reasons, e.g., hardware defects, software errors or the arrival of unexpected events. In order to tolerate faults in MC systems, the re-execution technique is typically employed, which may lead to overrun of highcriticality tasks (HCTs), which necessitates the drop of low-criticality tasks (LCTs) or degrading their quality. However, frequent drops or relatively long execution times of LCTs (especially mission-critical tasks) are not always desirable and it may impose a negative impact on the performance, or the functionality of MC systems. In this regard, this paper proposes a realistic MC task model and develops a design-time task-drop aware schedulability analysis based on the Earliest Deadline First with Virtual Deadline (EDF-VD) algorithm. According to this analysis and the proposed scheduling policy based on the new MC task model, in the high-criticality (HI) mode, when an HCT overruns and the system switches to the HI mode, the number of drops per LCT is prohibited from passing a predefined threshold. In addition, to guarantee the real-time constraints and safety requirements of MC tasks in the presence of faults (assuming transient faults in this paper), a corresponding scheduling mechanism has been developed. According to the obtained results from an extensive set of simulations, which have been validated through a realistic avionic application, the proposed method improves the acceptance ratio by up to 43.9% compared to state-of-the-art.

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Section: A Task Modelmentioning

confidence: 99%