Azure物联网中心处理高速大规模物联网数据的可行性

Companion of the 2018 ACM/SPEC International Conference on Performance Engineering Pub Date : 2021-04-19 DOI:10.1145/3447545.3451187

Wajdi Halabi, Daniel N. Smith, J. Hill, Jason W. Anderson, Ken E. Kennedy, Brandon Posey, Linh Ngo, A. Apon

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引用次数: 1

摘要

我们利用克莱姆森超级计算机生成大量工作负载来测试微软Azure IoT Hub的性能。工作负载模拟来自大型制造工厂的传感器数据。我们研究了不同IoT Hub配置的消息频率、分布和大小对往返延迟的影响。当系统超过物联网集线器规格时，延迟会发生显著变化。对于一个设计良好的系统来说，结果是可预测的，并且表现良好，并且可以满足软实时截止日期。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Viability of Azure IoT Hub for Processing High Velocity Large Scale IoT Data

We utilize the Clemson supercomputer to generate a massive workload for testing the performance of Microsoft Azure IoT Hub. The workload emulates sensor data from a large manufacturing facility. We study the effects of message frequency, distribution, and size on round-trip latency for different IoT Hub configurations. Significant variation in latency occurs when the system exceeds IoT Hub specifications. The results are predictable and well-behaved for a well-engineered system and can meet soft real-time deadlines.

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Companion of the 2018 ACM/SPEC International Conference on Performance Engineering

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