Multiple PRM-Based Lockstep/Performance Mode Switches for Critical/Non-Critical Real-Time Tasks

Jae-Yeop Jeong, Chang-Gun Lee
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Abstract

Due to the complex computation requirements of autonomous car functions, high-performance ECUs are inevitable for the future automotive system architecture. However, it has been reported that high-performance ECUs are usually more susceptible to the soft-error due to the technology scaling. One of the key methods to tolerate these soft errors (i.e. transient faults) is the lockstep mechanism based on the hardware redundancy. However, since this uses multiple redundant cores to execute a single program, it is very inefficient in terms of resource usage. To cope with this drawback, a new feature, ‘Lockstep/Performance mode switch' was introduced. It aims to guarantee safety for safety-critical tasks using the lockstep and maximize throughput for non-critical tasks using different cores for different tasks. This paper proposes a real-time scheduling method in order to efficiently use this new feature following the previous work. We first propose a condition of Periodic Resource Model(PRM) that avoids pessimism while we construct a PRM with the harmonic task set. Then, we partition the given input set into multiple PRMs where each PRM possesses a harmonic task set and has the optimal PRM period and budget. Consequently, The proposed method achieves optimal maximum schedulable utilization, which is more resource-efficient than the previous work.
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关键/非关键实时任务的多个基于prm的Lockstep/性能模式切换
由于自动驾驶汽车功能的复杂计算需求,高性能ecu是未来汽车系统架构的必然选择。然而,据报道,高性能ecu通常更容易受到软误差的影响,因为技术的扩展。容忍这些软错误(即瞬态故障)的关键方法之一是基于硬件冗余的锁步机制。但是,由于这使用多个冗余核心来执行单个程序,因此在资源使用方面效率非常低。为了解决这个缺点,引入了一个新功能,“Lockstep/Performance mode switch”。它旨在使用lockstep保证安全关键任务的安全性,并最大限度地提高非关键任务的吞吐量,为不同的任务使用不同的内核。为了有效地利用这一新特性,本文在前人的基础上提出了一种实时调度方法。在构造具有调和任务集的周期资源模型时,首先提出了周期资源模型避免悲观的条件。然后,我们将给定的输入集划分为多个PRM,每个PRM具有一个调和任务集,并且具有最优的PRM周期和预算。因此,该方法实现了最优的最大可调度利用率,比以往的方法具有更高的资源效率。
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