Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments.

Saved in:
Bibliographic Details
Title: Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments.
Authors: Fernando, Duneesha1, dtfernando@student.unimelb.edu.au, Rodriguez, Maria A.1, marodriguez@unimelb.edu.au, Arroba, Patricia2, parroba@die.upm.es, Ismail, Leila3, leila@uaeu.ac.ae, Buyya, Rajkumar1, rbuyya@unimelb.edu.au
Source: ACM Transactions on Autonomous & Adaptive Systems; Jun2025, Vol. 20 Issue 2, p1-27, 27p
Database: Applied Science & Technology Source
Description
ISSN:15564665
DOI:10.1145/3725736