Abstract
Techniques are described herein for predicting whether an Edge Device (ED) in the Internet of Things (IoT) infrastructure is going to crash or slowed using Prominent Feature Analysis (PFA) and supervised Machine Learning (ML) techniques like Support Vector Machines (SVM). This allows the IoT infrastructure administrator to remediate before a device crash or slow down.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Jain, Lalit; Pothireddy, Nirup; Malikireddy, Sai Kiran Reddy; Parekh, Vivek; Algubelli, Bipin; Veluru, Chandra; and Kumar, Dileep, "AUTOMATED FAILURE PREDICTION AND SELF-HEALING OF EDGE DEVICES IN INTERNET OF THINGS INFRASTRUCTURE", Technical Disclosure Commons, (January 03, 2019)
https://www.tdcommons.org/dpubs_series/1850