Improved data-driven root cause analysis in fog computing environment
Authors:
- 15 October 2021
- journal article
- research article
- Published by Springer Nature in Journal of Reliable Intelligent Environments
- Vol. 8 (4) , 359-377
Abstract
No abstract availableKeywords
This publication has 32 references indexed in Scilit:
- Data-driven root-cause fault diagnosis for multivariate non-linear processesControl Engineering Practice, 2018
- JTangCMS: An efficient monitoring system for cloud platformsInformation Sciences, 2016
- Anomaly detection in aircraft data using Recurrent Neural Networks (RNN)2016
- A Data Transmission Method for Resource Monitoring under Cloud Computing EnvironmentInternational Journal of Grid and Distributed Computing, 2015
- A method for root cause analysis with a Bayesian belief network and fuzzy cognitive mapExpert Systems with Applications, 2015
- Anomaly Detection Using Autoencoders with Nonlinear Dimensionality Reduction2014
- Classification and Review of Multi-agents Systems in the Manufacturing SectionProcedia Engineering, 2014
- Combining Knowledge Modeling and Machine Learning for Alarm Root Cause AnalysisIFAC Proceedings Volumes, 2013
- Constructing a Design Framework for Performance Dashboards2012
- WiGriMMA: A Wireless Grid Monitoring Model Using AgentsJournal of Grid Computing, 2011