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DOE OSTI · 1813255

Edge-cloud computing performance benchmarking for IoT based machinery vibration monitoring

Verma, Ankur·Goyal, Ayush·Kumara, Soundar·Kurfess, Thomas
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Abstract

Advances in low cost and reliable sensing, connectivity (Internet of Things), computational power, and advanced analytics, are leading to a new wave of innovation in machinery status sensing and condition monitoring. Significant research efforts are directed towards cloud computing architectures. However, given the latency, bandwidth, cost, security, and privacy concerns, further supported by the ever-increasing capabilities of edge computing devices, there is a need to consider both edge and cloud computing together to make informed decisions based upon context and performance. In this work, we present an edge-cloud performance evaluation for IoT based machinery vibration monitoring, to foster deployment for the contexts considered.

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97 MATHEMATICS AND COMPUTINGInternet of Thingsedge computingmachinery vibration monitoringsmart manufacturing

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Verma, Ankur, Goyal, Ayush, Kumara, Soundar, Kurfess, Thomas. 2020-12-11. Edge-cloud computing performance benchmarking for IoT based machinery vibration monitoring. https://doi.org/10.1016/j.mfglet.2020.12.004

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