多核混合临界系统的临界和需求感知总线仲裁

Mohamed Hassan, Hiren D. Patel
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引用次数: 43

摘要

本工作提出了CArb,一种在多核混合临界系统中控制对共享内存总线访问的仲裁器。CArb是一个需求感知的仲裁器,它根据任务的需求将服务最佳地分配给任务。它还具有临界意识,因为它将临界性作为仲裁决策中的头等原则。CArb支持任意数量的临界级别,并且不会对将任务映射到处理器施加任何限制。因此,它与现有的处理器调度策略协同工作。此外,CArb能够在运行时动态调整内存总线仲裁,以响应被监视的任务执行时间的增加。利用这种适应性,碳水化合物能够抵消这些增加;因此,推迟了系统切换到降级模式的需要。我们对CArb进行了原型设计,并通过霍尼韦尔航空电子案例研究和综合实验对其进行了评估。
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Criticality- and Requirement-Aware Bus Arbitration for Multi-Core Mixed Criticality Systems
This work presents CArb, an arbiter for controlling accesses to the shared memory bus in multi-core mixed criticality systems. CArb is a requirement-aware arbiter that optimally allocates service to tasks based on their requirements. It is also criticality-aware since it incorporates criticality as a first-class principle in arbitration decisions. CArb supports any number of criticality levels and does not impose any restrictions on mapping tasks to processors. Hence, it operates in tandem with existing processor scheduling policies. In addition, CArb is able to dynamically adapt memory bus arbitration at run time to respond to increases in the monitored execution times of tasks. Utilizing this adaptation, CArb is able to offset these increases; hence, postpones the system need to switch to a degraded mode. We prototype CArb, and evaluate it with an avionics case-study from Honeywell as well as synthetic experiments.
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