Detection of Anomalies in Multivariate Time Series Using Ensemble Techniques

no code implementations • 6 Aug 2023 • Anastasios Iliopoulos, John Violos, Christos Diou, Iraklis Varlamis

To boost the performance of these base models, we propose a feature-bagging technique that considers only a subset of features at a time, and we further apply a transformation that is based on nested rotation computed from Principal Component Analysis (PCA) to improve the effectiveness and generalization of the approach.

Anomaly Detection Time Series

Intelligent Proactive Fault Tolerance at the Edge through Resource Usage Prediction

no code implementations • 9 Feb 2023 • Theodoros Theodoropoulos, John Violos, Stylianos Tsanakas, Aris Leivadeas, Konstantinos Tserpes, Theodora Varvarigou

Additionally, the IPFT mechanism that leverages the resource usage predictions has been evaluated in an extensive simulation in CloudSim Plus and the results show significant improvement compared to the reactive fault tolerance method in terms of reliability and maintainability.

Edge-computing Management