Ghent University Academic Bibliography

Journal Article
A2
open access

Leveraging the DAO for edge-to-cloud data sharing and availability

Adnan Imeri, Uwe Roth, Michail Alexandros Kourtis, Andreas Oikonomakis, Achilleas Economopoulos, Lorenzo Fogli, Antonella Cadeddu, Alessandro Bianchini, Daniel Iglesias and Wouter Tavernier (UGent)

(2026) FUTURE INTERNET. 18(1).

Add to list

Journal Article
A1
open access

Flocky : decentralized intent-based edge orchestration using open application model

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

(2026) IEEE TRANSACTIONS ON SERVICES COMPUTING. 19(1). p.380-395

Add to list

Journal Article
A1
open access

The computing continuum : past, present, and future

L. F. Bittencourt, R. Rodrigues-Filho, J. Spillner, Filip De Turck (UGent) , José Santos (UGent) , N. L. S. da Fonseca, O. Rana, M. Parashar and I. Foster

(2025) COMPUTER SCIENCE REVIEW. 58.

Add to list

Journal Article
A1
open access

Mixed-runtime pod networking for Kubernetes-based edge computing

Tom Goethals (UGent) , Miel Verkerken (UGent) , Merlijn Sebrechts (UGent) , Filip De Turck (UGent) and Bruno Volckaert (UGent)

(2025) IEEE ACCESS. 13. p.209432-209449

Add to list

Journal Article
A1
open access

Hybrid edge-cloud models for bearing failure detection in a fleet of machines

Sam Leroux (UGent) and Pieter Simoens (UGent)

(2024) ELECTRONICS. 13(24).

Add to list

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

Add to list

Journal Article
A1
open access

Revisiting edge AI : opportunities and challenges

Tobias Meuser, Lauri Loven, Monowar Bhuyan, Shishir G. Patil, Schahram Dustdar, Atakan Aral, Suzan Bayhan, Christian Becker, Eyal de Lara, Aaron Yi Ding, et al.

(2024) IEEE INTERNET COMPUTING. 28(4). p.49-59

Add to list

Feather : lightweight container alternatives for deploying workloads in the edge

Tom Goethals (UGent) , Maxim De Clercq, Merlijn Sebrechts (UGent) , Filip De Turck (UGent) and Bruno Volckaert (UGent)

(2024) Proceedings of the 14th International Conference on Cloud Computing and Services Science (CLOSER 2024). p.1-11

Add to list

OASEES : an innovative scope for a DAO-based programmable swarm solution, for decentralizing AI applications close to data generation locations

Ioannis P. Chochliouros, Michail Alexandros Kourtis, George Xilouris, Wouter Tavernier (UGent) , Enrique Areizaga Sanchez, Margarita Anastassova, Christian Bolzmacher, Nikolay Tcholtchev, Antonello Corsi, Panagiotis Trakadas, et al.

(2023) ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS. AIAI 2023 IFIP WG 12.5 INTERNATIONAL WORKSHOPS. In IFIP Advances in Information and Communication Technology 677. p.91-105

Add to list

A geometric approach to real-time quality of experience prediction in volatile edge networks

Tom Goethals (UGent) , Bruno Volckaert (UGent) and Filip De Turck (UGent)

(2022) 2022 18TH INTERNATIONAL CONFERENCE ON NETWORK AND SERVICE MANAGEMENT (CNSM 2022) : INTELLIGENT MANAGEMENT OF DISRUPTIVE NETWORK TECHNOLOGIES AND SERVICES. In International Conference on Network and Service Management p.170-176

Academic Bibliography

Leveraging the DAO for edge-to-cloud data sharing and availability

Flocky : decentralized intent-based edge orchestration using open application model

The computing continuum : past, present, and future

Mixed-runtime pod networking for Kubernetes-based edge computing

Hybrid edge-cloud models for bearing failure detection in a fleet of machines

Warrens : decentralized connectionless tunnels for edge container networks

Revisiting edge AI : opportunities and challenges

Feather : lightweight container alternatives for deploying workloads in the edge

OASEES : an innovative scope for a DAO-based programmable swarm solution, for decentralizing AI applications close to data generation locations

A geometric approach to real-time quality of experience prediction in volatile edge networks

Contents

Support

Contact