Xronos: Predictable Coordination for Safety-Critical Distributed Embedded Systems
Asynchronous frameworks for distributed embedded systems, like ROS and MQTT, are increasingly used in safety-critical applications such as autonomous driving, where the cost of unintended behavior is high. The coordination mechanism between the components in these frameworks, however, gives rise to...
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Main Authors | , , , , , , , , |
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Format | Journal Article |
Language | English |
Published |
19.07.2022
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Subjects | |
Online Access | Get full text |
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Summary: | Asynchronous frameworks for distributed embedded systems, like ROS and MQTT,
are increasingly used in safety-critical applications such as autonomous
driving, where the cost of unintended behavior is high. The coordination
mechanism between the components in these frameworks, however, gives rise to
nondeterminism, where factors such as communication timing can lead to
arbitrary ordering in the handling of messages. In this paper, we demonstrate
the significance of this problem in an open-source full-stack autonomous
driving software, Autoware.Auto 1.0, which relies on ROS 2. We give an
alternative: Xronos, an open-source framework for distributed embedded systems
that has a novel coordination strategy with predictable properties under
clearly stated assumptions. If these assumptions are violated, Xronos provides
for application-specific fault handlers to be invoked. We port Autoware.Auto to
Xronos and show that it avoids the identified problems with manageable cost in
end-to-end latency. Furthermore, we compare the maximum throughput of Xronos to
ROS 2 and MQTT using microbenchmarks under different settings, including on
three different hardware configurations, and find that it can match or exceed
those frameworks in terms of throughput. |
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DOI: | 10.48550/arxiv.2207.09555 |