1 citations · 1 across the 4 of their papers we have counts for
4 papers
A Cascaded Graph Neural Network for Joint Root Cause Localization and Analysis in Edge Computing Environments
Duneesha Fernando, Maria A. Rodriguez, Rajkumar Buyya
Edge computing environments host increasingly complex microservice-based IoT applications that are prone to performance anomalies propagating across dependent services. Identifying…
A Decentralized Root Cause Localization Approach for Edge Computing Environments
Duneesha Fernando, Maria A. Rodriguez, Rajkumar Buyya
Edge computing environments host increasingly complex microservice-based IoT applications, which are prone to performance anomalies that can propagate across dependent services. Id…
iAnomaly: A Toolkit for Generating Performance Anomaly Datasets in Edge-Cloud Integrated Computing Environments
Duneesha Fernando, Maria A. Rodriguez, Rajkumar Buyya
Microservice architectures are increasingly used to modularize IoT applications and deploy them in distributed and heterogeneous edge computing environments. Over time, these micro…
Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments
Duneesha Fernando, Maria A. Rodriguez, Patricia Arroba +2
Microservice architectures are increasingly used to modularize IoT applications and deploy them in distributed and heterogeneous edge computing environments. Over time, these micro…