working -in- progress:混合时间敏感系统中性能均衡的共享缓存静态分区

Pan Yang, Pan Dong, Zhe Jiang, Jintao Xia, Yan Ding
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引用次数: 0

摘要

在现代安全关键型嵌入式系统(例如,汽车/航空电子系统)中,考虑到空间、重量和热量产生,将不同临界级别的组件集成到一个物理平台中变得越来越重要。最常见的情况是混合时间敏感系统(MTSS),它通常由RTOS(实时操作系统)和GPOS(通用操作系统)组成。在MTSS中,RTOS和GPOS之间的缓存共享往往会造成任务间的干扰,导致WCET估计过于悲观,因为缓存缺失率和任务执行时间方差的增加。现有的缓存管理方案,如动态和静态方案,对MTSS的应用具有挑战性。在本文中,我们提出了一种新的实用方法,称为cacheSPM,以消除MTSS中的缓存干扰。CacheSPM在编译阶段对缓存资源进行静态分区,有效防止GPOS对属于RTOS的缓存资源的影响。与传统分区方案相比,cacheSPM没有内存管理器的干预,也没有额外的运行时开销。评估结果表明,该方法均衡地提高了内存利用率,降低了开销,内存访问延迟平均降低了80.7%,保证了RTOS的实时性,同时又不影响GPOS的性能。
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Work-in-Progress: a static partition for shared cache in mixed-time-sensitive system with balanced performance
In modern safety-critical embedded systems (e.g., automotive/avionic systems), it is increasingly important to integrate components with different critical levels into one physical platform considering space, weight, and heat generation. The most common case is a mixed-time-sensitive system (MTSS), which is usually composed of an RTOS (Real-Time Operating System) and a GPOS (General-Purpose Operating System). In MTSS, cache sharing between RTOS and GPOS often causes inter-task interference, making WCET estimation overly pessimistic due to the increase of cache miss rate and task execution time variances. The existing cache management solutions, such as dynamic and static schemes, are challenging to be applied to MTSS. In this paper, we propose a novel practical method, termed cacheSPM, to eliminate the cache interference in MTSS. CacheSPM statically partitions cache resources during the compilation phase, effectively preventing the GPOS from influencing the cache resources belonged to the RTOS. Compared to the traditional partition schemes, cacheSPM has no intervention of memory manager and additional runtime overhead. Evaluation reveals that this method improves the memory utilization and reduces overhead in a balanced way, with the memory access latency reduced by 80.7% on average, and guarantees the real-time capability of RTOS without negatively affecting the performance of GPOS.
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来源期刊
CiteScore
1.70
自引率
14.30%
发文量
17
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