Oct 6, 2021 · This paper presents the first systematic study that assesses HTM in the context of failure prediction. The results that we obtained considering ...

Sep 12, 2024 · The results that we obtained considering 72 configurations of HTM applied to 12 different types of faults introduced in the Clearwater cloud ...

Section III presents the online failure prediction strategy used to evaluate HTM. Section IV explains the evaluation methodology. Section V describes results.

Cloud Failure Prediction with Hierarchical Temporal Memory: An Empirical Assessment. Riganelli, O., Saltarel, P., Tundo, A., Mobilio, M., & Mariani, ...

Dec 15, 2021 · The document proposes a failure prediction system for cloud resources that uses hierarchical temporal memory (HTM) for anomaly detection.

Hierarchical Temporal Memory (HTM) is an unsupervised learning algorithm inspired by the features of the neocortex that can be used to continuously process ...

The Hierarchical Temporal Memory (HTM) model has advantages over traditional recurrent neural network (RNN)-based models due to its online learning and ...

Hierarchical Temporal Memory (HTM) is an unsupervised learning algorithm inspired by the features of the neocortex that can be used to continuously process ...

Hierarchical Temporal Memory (HTM) is an unsupervised learning algorithm inspired by the features of the neocortex that can be used to continuously process ...

TL;DR: In this paper, Hierarchical Temporary Memory (HTM) is used for failure prediction in cloud systems, which can be used to continuously process stream data ...