Schedulability analysis and stack size minimization for adaptive mixed criticality scheduling with semi-Clairvoyance and preemption thresholds

2022 ◽  
pp. 102383
Author(s):  
Qingling Zhao ◽  
Mengfei Qu ◽  
Haibo Zeng
Keyword(s):  
Schedulability Analysis ◽  
Mixed Criticality

TA-MCF: Thermal-Aware Fluid Scheduling for Mixed-Criticality System

2018 ◽  
Vol 28 (02) ◽  
pp. 1950029 ◽  
Author(s):  
Tiantian Li ◽  
Tianyu Zhang ◽  
Ge Yu ◽  
Yichuan Zhang ◽  
Jie Song
Keyword(s):  
Energy Consumption ◽  
State Of The Art ◽  
Schedulability Analysis ◽  
Leakage Power ◽  
The State ◽  
Effect Of Temperature ◽  
Processing Capacity ◽  
Energy Aware ◽  
Fluid Scheduling ◽  
Mixed Criticality

Fluid scheduling allows tasks to be allocated with fractional processing capacity, which significantly improves the schedulability performance. For dual-criticality systems (DCS), dual-rate fluid-based scheduling has been widely studied, e.g., the state-of-the-art approaches mixed-criticality fluid scheduling (MCF) and MC-Sort. However, most of the existing works on DCS either only focus on the schedulability analysis or minimize the energy consumption treating leakage power as a constant. To this end, this paper considers the effect of temperature on leakage power and proposes a thermal and power aware fluid scheduling strategy, referred to as thermal and energy aware (TA)-MCF which minimizes both the energy consumption and temperature, while ensuring a comparable schedulability ratio compared with the MCF and MC-Sort. Extensive experiments validate the efficiency of TA-MCF.

scholarly journals Schedulability Analysis Towards Arbitrarily Activated Tasks in Mixed-Criticality Systems

2017 ◽  
Vol 26 (10) ◽  
pp. 1750159 ◽  
Author(s):  
Biao Hu ◽  
Kai Huang ◽  
Gang Chen ◽  
Long Cheng ◽  
Dongkun Han ◽  
...  
Keyword(s):  
Real Time ◽  
Schedulability Analysis ◽  
Real Time Systems ◽  
Activation Patterns ◽  
Task Model ◽  
Efficient Resource ◽  
Task Priority ◽  
Time Systems ◽  
Sufficient Test ◽  
Mixed Criticality

The integration of mixed-critical tasks into a platform is an increasingly important trend in the design of real-time systems due to its efficient resource usage. With a growing variety of activation patterns considered in real-time systems, some of them capture arbitrary activation patterns. As a consequence, the existing scheduling approaches in mixed-criticality systems (MCs), which assume the sporadic tasks with implicit deadlines, have sometimes become inapplicable or are ineffective. In this paper, we extend the sporadically activated task model to the arbitrarily activated task model in MCs with the preemptive fixed-task-priority schedule. By using the event arrival curve to model task activations, we present the necessary and sufficient schedulability tests that are based on the well-established results from Real-Time Calculus. We propose to use the busy-window analysis to do the sufficient test because it has been shown to be tighter than the sufficient test of using Real-Time Calculus. According to our experimental results, for sporadic task sets, our proposed test can achieve the same performance as the state-of-the-art schedulability test. However, compared with the previous schedulability analysis of preemptive fixed-task-priority, our approaches can handle more general tasks with blocking, jitter, and arbitrary deadlines.

scholarly journals Efficient schedulability analysis for mixed-criticality systems under deadline-based scheduling

2014 ◽  
Vol 27 (4) ◽  
pp. 856-866 ◽  
Author(s):  
Yao Chen ◽  
Qiao Li ◽  
Zheng Li ◽  
Huagang Xiong
Keyword(s):  
Schedulability Analysis ◽  
Mixed Criticality

Schedulability analysis and stack size minimization with preemption thresholds and mixed-criticality scheduling

2018 ◽  
Vol 83 ◽  
pp. 57-74 ◽  
Author(s):  
Qingling Zhao ◽  
Zonghua Gu ◽  
Haibo Zeng ◽  
Nenggan Zheng
Keyword(s):  
Schedulability Analysis ◽  
Mixed Criticality
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