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Process Management in IoT Operating Systems: Cross-Influence between Processing and Communication Tasks in End-Devices

机译:物联网操作系统中的流程管理:终端设备中处理和通信任务之间的交叉影响

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摘要

The emergence and spread of Internet of Things (IoT) technologies along with the edge computing paradigm has led to an increase in the computational load on sensor end-devices. These devices are now expected to provide high-level information instead of just raw sensor measurements. Therefore, the processing tasks must share the processor time with the communication tasks, and both of them may have strict timing constraints. In this work, we present an empirical study, from the edge computing perspective, of the process management carried out by an IoT Operating System (OS), showing the cross-influence between the processing and communication tasks in end-devices. We have conducted multiple tests in two real scenarios with a specific OS and a set of wireless protocols. In these tests, we have varied the processing and communication tasks timing parameters, as well as their assigned priority levels. The results obtained from these tests demonstrate that there is a close relationship between the characteristics of the processing tasks and the communication performance, especially when the processing computational load is high. In addition, these results also show that the computational load is not the only factor responsible for the communication performance degradation, as the relationship between the processing tasks and the communication protocols timing parameters also plays a role. These conclusions should be taken into account for future OSs and protocol developments.
机译:物联网(IoT)技术的出现和扩散以及边缘计算范式已导致传感器终端设备的计算负荷增加。现在,预计这些设备将提供高级信息,而不仅仅是原始传感器的测量结果。因此,处理任务必须与通信任务共享处理器时间,并且两者都可能具有严格的时序约束。在这项工作中,我们从边缘计算的角度对IoT操作系统(OS)进行的流程管理进行了实证研究,显示了终端设备中处理和通信任务之间的交叉影响。我们已经在两个实际场景中使用特定的操作系统和一组无线协议进行了多次测试。在这些测试中,我们改变了处理和通信任务的计时参数,以及它们分配的优先级。从这些测试中获得的结果表明,处理任务的特性与通信性能之间存在密切的关系,尤其是在处理计算量很高时。此外,这些结果还表明,计算负荷不是造成通信性能下降的唯一因素,因为处理任务和通信协议定时参数之间的关系也起着作用。这些结论应考虑到将来的操作系统和协议开发。

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