Ghent University Academic Bibliography

Journal Article
A1
open access

Toward context-aware anomaly detection for AIOps in microservices using dynamic knowledge graphs

Pieter Moens (UGent) , Bram Steenwinckel (UGent) , Femke Ongenae (UGent) , Bruno Volckaert (UGent) and Sofie Van Hoecke (UGent)

(2026) IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT. 23. p.1970-1988

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Journal Article
A1
open access

HephaestusForge : optimal microservice deployment across the Compute Continuum via Reinforcement Learning

José Santos (UGent) , Mattia Zaccarini, Filippo Poltronieri, Mauro Tortonesi, Cesare Stefanelli, Nicola Di Cicco and Filip De Turck (UGent)

(2025) FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE. 166.

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Conference Paper
P1
open access

Efficient microservice deployment in Kubernetes multi-clusters through reinforcement learning

José Santos (UGent) , M. Zaccarini, F. Poltronieri, M. Tortonesi, C. Stefanelli, N. Di Cicco and Filip De Turck (UGent)

(2024) PROCEEDINGS OF 2024 IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM, NOMS 2024. In IEEE IFIP Network Operations and Management Symposium

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Conference Paper
P1
open access

Towards optimal load balancing in multi-zone Kubernetes clusters via reinforcement learning

José Santos (UGent) , Tim Wauters (UGent) , Filip De Turck (UGent) and Peter Steenkiste (UGent)

(2024) 2024 33RD INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS AND NETWORKS, ICCCN 2024. In IEEE International Conference on Computer Communications and Networks

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Research Data

Auto-scaling dataset based on the gym-hpa framework

José Santos (UGent) , Tim Wauters (UGent) , Bruno Volckaert (UGent) and Filip De Turck (UGent)

(2023)

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Conference Paper
P1
open access

Edge anomaly detection framework for AIOps in Cloud and IoT

Pieter Moens (UGent) , Bavo Andriessen, Merlijn Sebrechts (UGent) , Bruno Volckaert (UGent) and Sofie Van Hoecke (UGent)

(2023) PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND SERVICES SCIENCE, CLOSER 2023. In CLOSER p.204-211

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Federated scheduling of fog-native applications over multi-domain edge-to-cloud ecosystem

Mays AL-Naday, Vasileios Karagiannis, Tom De Block and Bruno Volckaert (UGent)

(2023) 2023 19TH INTERNATIONAL CONFERENCE ON NETWORK AND SERVICE MANAGEMENT, CNSM. In International conference on network and service management

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Journal Article
A1
open access

Diktyo : network-aware scheduling in container-based clouds

José Santos (UGent) , Chen Wang, Tim Wauters (UGent) and Filip De Turck (UGent)

(2023) IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT. 20(4). p.4461-4477

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Conference Paper
P1
open access

gym-hpa : efficient auto-scaling via reinforcement learning for complex microservice-based applications in Kubernetes

José Santos (UGent) , Tim Wauters (UGent) , Bruno Volckaert (UGent) and Filip De Turck (UGent)

(2023) NOMS 2023-2023 IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM. In IEEE IFIP Network Operations and Management Symposium

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Conference Paper
P1
open access

Efficient management in fog computing

José Santos (UGent) , Tim Wauters (UGent) and Filip De Turck (UGent)

(2023) NOMS 2023-2023 IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM. In IEEE IFIP Network Operations and Management Symposium

Academic Bibliography

Toward context-aware anomaly detection for AIOps in microservices using dynamic knowledge graphs

HephaestusForge : optimal microservice deployment across the Compute Continuum via Reinforcement Learning

Efficient microservice deployment in Kubernetes multi-clusters through reinforcement learning

Towards optimal load balancing in multi-zone Kubernetes clusters via reinforcement learning

Auto-scaling dataset based on the gym-hpa framework

Edge anomaly detection framework for AIOps in Cloud and IoT

Federated scheduling of fog-native applications over multi-domain edge-to-cloud ecosystem

Diktyo : network-aware scheduling in container-based clouds

gym-hpa : efficient auto-scaling via reinforcement learning for complex microservice-based applications in Kubernetes

Efficient management in fog computing

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