IoT devices, equipped with embedded actuators and sensors, provide custom
automation in the form of IoT apps. IoT apps subscribe to events and upon
receipt, transmit actuation commands which trigger a set of actuators. Events
and actuation commands follow paths in the IoT ecosystem such as
sensor-to-edge, edge-to-cloud, and cloud-to-actuator, with different network
and processing delays between these connections. Significant delays may occur
especially when an IoT system cloud interacts with other clouds. Due to this
variation in delays, the cloud may receive events in an incorrect order, and in
turn, devices may receive and actuate misordered commands. In this paper, we
first study eight major IoT platforms and show that they do not make strong
guarantees on event orderings to address these issues. We then analyze the
end-to-end interactions among IoT components, from the creation of an event to
the invocation of a command. From this, we identify and formalize the root
causes of misorderings in events and commands leading to undesired states. We
deploy 23 apps in a simulated smart home containing 35 IoT devices to evaluate
the misordering problem. Our experiments demonstrate a high number of
misordered events and commands that occur through different interaction paths.
Through this effort, we reveal the root and extent of the misordering problem
and guide future work to ensure correct ordering in IoT systems.

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