Reliability-Aware Energy Management in Mixed-Criticality Systems

Taherin, Amir; Salehi, M T Zahraei; Ejlali, Alireza

doi:10.1109/tsusc.2018.2801123

Cited by 33 publications

(11 citation statements)

References 14 publications

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“…It causes serious service interruption for LC tasks. Therefore, in addition to power management This is an extended version of the paper accepted to be published in IEEE (TCAD) 2021 which includes Appendices A-E [23], Socci'19 [24], Baruah'16 [19], Medina'17 [25] × × × × × 2 Li'16 [26], Pathan'18 [27] × × × × 3 Medina'18 [22], [28], Choi'18 [29], Bolchini'13 [30] × × × 4 Huang'14 [12], Li'14 [13], Ali'15 [14], Narayana'16 [15], Taherin'18 [16], Awan'16 [17] × × × × × 5 Lee'14 [7], Munawar'14 [8]…”

Section: Related Workmentioning

confidence: 99%

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Toward the Design of Fault-Tolerance-Aware and Peak-Power-Aware Multicore Mixed-Criticality Systems

Ranjbar

Hosseinghorban

Salehi

et al. 2022

IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

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Mixed-Criticality (MC) systems have recently been devised to address the requirements of real-time systems in industrial applications, where the system runs tasks with different criticality levels on a single platform. In some workloads, a highcritically task might overrun and overload the system, or a fault can occur during the execution. However, these systems must be fault-tolerant and guarantee the correct execution of all highcriticality tasks by their deadlines to avoid catastrophic consequences, in any situation. Furthermore, in these MC systems, the peak power consumption of the system may increase, especially in an overload situation and exceed the processor Thermal Design Power (TDP) constraint. This may cause generating heat beyond the cooling capacity, resulting the system stop to avoid excessive heat and halting the processor. In this paper, we propose a technique for dependent dual-criticality tasks in fault-tolerant multi-core MC systems to manage peak power consumption and temperature. The technique develops a tree of possible task mapping and scheduling at design-time to cover all possible scenarios and reduce the low-criticality task drop rate in the highcriticality mode. At run-time, the system exploits the tree to select a proper schedule according to fault occurrences and criticality mode changes. Experimental results show that the average task schedulability is 74.14% on average for the proposed method, while the peak power consumption and maximum temperature are improved by 16.65% and 14.9 • C on average, respectively, compared to a recent work. In addition, for a real-life application, our method reduces the peak power and maximum temperature by up to 20.06% and 5 • C, respectively, compared to a state-ofthe-art approach.

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Section: Related Workmentioning

confidence: 99%

“…The total power consumption of a core in an embedded system consists of three major components, Dynamic power (𝑃 𝑑 ), static power (𝑃 𝑠 ), and frequency-independent power (𝑃 𝑖𝑛𝑑 ) [16], [33]. We consider a pessimistic approach to obtain the dynamic power consumption of HC tasks as well as LC tasks.…”

Section: Power Modelmentioning

confidence: 99%

Toward the Design of Fault-Tolerance-Aware and Peak-Power-Aware Multicore Mixed-Criticality Systems

Ranjbar

Hosseinghorban

Salehi

et al. 2022

IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

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“…Using the fault tolerance techniques such as re-execution to guarantee the system's reliability and safety requirement has timing overheads, which is a common practice [46]. However, since the MC systems are safety-critical, its correct operation throughout a complete time interval is crucial even in the case of fault occurrence to prevent catastrophic consequences [51]. Fig.…”

Section: Uboundmentioning

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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“…map the tasks to the processors with Algorithm 1 12 if not feasible then 13 return does not exist a feasible mapping /* enter the relaxing phase */ 14 while any primary frequency can be decreased do 15 select task i with LEF or LPF criteria…”

Section: Rr N°9259mentioning

confidence: 99%

“…In [13], Taherin et al propose an approach for energy management that is only applied on "low-criticality tasks in low-criticality mode to preserve the original reliability of the system". This approach cannot guarantee that a reliability threshold is met.…”

Section: Related Workmentioning

confidence: 99%

Improved Energy-Aware Strategies for Periodic Real-Time Tasks under Reliability Constraints

Han

Canon

Liu

et al. 2019

2019 IEEE Real-Time Systems Symposium (RTSS)

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This paper revisits the real-time scheduling problem recently introduced by Haque, Aydin and Zhu in a recent issue of this journal [9]. We provide new scheduling strategies that dramatically improve the results of [9]. Résumé : Ce rapport s'intéresseà un problème d'ordonnancement en temps-réelétudié par Haque, Aydin and Zhu et récemment paru dans IEEE TPDS [9]. Nous proposons de nouvelles stratégies de placement et d'ordonnancement qui améliorent significativement les résultats de [9].

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Reliability-Aware Energy Management in Mixed-Criticality Systems

Cited by 33 publications

References 14 publications

Toward the Design of Fault-Tolerance-Aware and Peak-Power-Aware Multicore Mixed-Criticality Systems

Toward the Design of Fault-Tolerance-Aware and Peak-Power-Aware Multicore Mixed-Criticality Systems

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

Improved Energy-Aware Strategies for Periodic Real-Time Tasks under Reliability Constraints

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