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首页> 外文会议>IEEE International System-on-Chip Conference >Reducing Memory Interference Latency of Safety-Critical Applications via Memory Request Throttling and Linux Cgroup
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Reducing Memory Interference Latency of Safety-Critical Applications via Memory Request Throttling and Linux Cgroup

机译：通过存储器请求限制和Linux CGroup降低安全关键应用程序的内存干扰延迟

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摘要

With the advent of high-performance multicore processors that operate under a limited power budget, dedicated low-end microprocessors with different levels of criticality are rapidly consolidated into a mixed-criticality system. One of the major challenges in designing such a mixed-criticality system is to tightly control the amount of resource contention for a critical application by effectively limiting its performance interference incurred due to sharing resources with non-critical tasks. In this paper, we propose application-aware dynamic memory request throttling to reduce the memory interference latency of a critical application in a dual criticality system. Our approach carefully differentiates critical task instances from normal task instances and groups them into the critical and normal cgroup, respectively. It then predicts the occurrence of excessive memory contention under critical task execution and then throttles memory requests generated by the normal cgroup via the CPUFreq governor when necessary. We have implemented the approach on the NVIDIA Jetson TX2 with Linux kernel 4.4.38. Experimental results show that the proposed approach reduces the end-to-end latency of a critical application up to 9.49% while incurring only negligible overhead.
机译：随着在有限的电力预算下运行的高性能多核处理器的出现，具有不同临界水平的专用低端微处理器迅速巩固到混合界定系统中。设计这种混合关键性系统的主要挑战之一是通过有效地限制由于具有非关键任务的共享资源而导致的性能干扰来严格控制关键申请的资源争用量。在本文中，我们提出了应用感知动态存储器请求限制，以减少双临界系统中的关键应用的存储器干扰延迟。我们的方法仔细地将关键任务实例与正常任务实例分别分别区分，分别将它们分组到关键和正常的CGroup中。然后，它预测关键任务执行下的过度内存争用的发生，然后在必要时通过CPUFREQ调速器通过CPUFREQ调速器限制由正常CGroup生成的存储器请求。我们在NVIDIA Jetson TX2上实现了Linux内核4.4.38的方法。实验结果表明，该方法降低了关键应用的端到端延迟高达9.49％，同时仅忽略不计的开销。

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