Ghent University Academic Bibliography

Conference Paper
open access

Can reinforcement learning be generalized for efficient auto-scaling in containerized clouds?

José Pedro Pereira dos Santos (UGent) , E. Reppas, Tim Wauters (UGent) , Bruno Volckaert (UGent) and Filip De Turck (UGent)

(2025) NOMS2025, the IEEE/IFIP Network Operations and Management Symposium.

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Low-latency volumetric video conferencing in congested networks through L4S

Matthias De Fré (UGent) , Jeroen van der Hooft (UGent) , Chia-Yu Chang, Koen De Schepper, Patrice Rondao Alface, Danny De Vleeschauwer (UGent) , Tim Wauters (UGent) , Peter Steenkiste (UGent) and Filip De Turck (UGent)

(2025) PROCEEDINGS OF THE 16TH ACM MULTIMEDIA SYSTEMS CONFERENCE, MMSYS 2025. p.113-123

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Journal Article
A1
open access

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

José Pedro Pereira dos 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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Journal Article
A1
open access

Gwydion : efficient auto-scaling for complex containerized applications in Kubernetes through Reinforcement Learning

José Pedro Pereira dos Santos (UGent) , Efstratios Reppas, Tim Wauters (UGent) , Bruno Volckaert (UGent) and Filip De Turck (UGent)

(2025) JOURNAL OF NETWORK AND COMPUTER APPLICATIONS. 234.

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Conference Paper
open access

Cyber-physical WebAssembly: Secure Hardware Interfaces and Pluggable Drivers

Michiel Van Kenhove (UGent) , Maximilian Seidler, Friedrich Vandenberghe (UGent) , Warre Dujardin, Wouter Hennen, Arne Vogel, Merlijn Sebrechts (UGent) , Tom Goethals (UGent) , Filip De Turck (UGent) and Bruno Volckaert (UGent)

(2025) NOMS2025, the IEEE/IFIP Network Operations and Management Symposium.

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Journal Article
A1
open access

Warrens : decentralized connectionless tunnels for edge container networks

Tom Goethals (UGent) , Mays Al-Naday, Bruno Volckaert (UGent) and Filip De Turck (UGent)

(2024) IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT. 21(4). p.4282-4296

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Conference Paper
P1
open access

Efficient microservice deployment in Kubernetes multi-clusters through reinforcement learning

José Pedro Pereira dos 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

Demonstrating adaptive many-to-many immersive teleconferencing for volumetric video

Matthias De Fré (UGent) , Jeroen van der Hooft (UGent) , Tim Wauters (UGent) and Filip De Turck (UGent)

(2024) PROCEEDINGS OF THE 2024 15TH ACM MULTIMEDIA SYSTEMS CONFERENCE 2024, MMSYS 2024. p.453-458

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Journal Article
A1
open access

Federated deep Q-learning networks for service-based anomaly detection and classification in edge-to-cloud ecosystems

Mays AL-Naday, Vlad Dobre, Martin Reed, Salman Toor, Bruno Volckaert (UGent) and Filip De Turck (UGent)

(2024) ANNALS OF TELECOMMUNICATIONS. 79. p.165-178

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Conference Paper
P1
open access

Multi-objective scheduling and resource allocation of Kubernetes replicas across the compute continuum

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

(2024) 2024 20TH INTERNATIONAL CONFERENCE ON NETWORK AND SERVICE MANAGEMENT, CNSM 2024. In International Conference on Network and Service Management

Academic Bibliography

Can reinforcement learning be generalized for efficient auto-scaling in containerized clouds?

Low-latency volumetric video conferencing in congested networks through L4S

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

Gwydion : efficient auto-scaling for complex containerized applications in Kubernetes through Reinforcement Learning

Cyber-physical WebAssembly: Secure Hardware Interfaces and Pluggable Drivers

Warrens : decentralized connectionless tunnels for edge container networks

Efficient microservice deployment in Kubernetes multi-clusters through reinforcement learning

Demonstrating adaptive many-to-many immersive teleconferencing for volumetric video

Federated deep Q-learning networks for service-based anomaly detection and classification in edge-to-cloud ecosystems

Multi-objective scheduling and resource allocation of Kubernetes replicas across the compute continuum

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