Theodoros Theodoropoulos

Orcid: 0000-0002-4618-4891

According to our database1, Theodoros Theodoropoulos authored at least 23 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Leveraging Graph Neural Networks for SLA Violation Prediction in Cloud Computing.
IEEE Trans. Netw. Serv. Manag., February, 2024

2023
Security in Cloud-Native Services: A Survey.
J. Cybersecur. Priv., October, 2023

Toward Supporting XR Services: Architecture and Enablers.
IEEE Internet Things J., February, 2023

Graph neural networks for representing multivariate resource usage: A multiplayer mobile gaming case-study.
Int. J. Inf. Manag. Data Insights, 2023

Intelligent Proactive Fault Tolerance at the Edge through Resource Usage Prediction.
CoRR, 2023

GreenKube: Towards Greener Container Orchestration using Artificial Intelligence.
Proceedings of the IEEE International Conference on Service-Oriented System Engineering, 2023

Multi-Service Demand Forecasting Using Graph Neural Networks.
Proceedings of the IEEE International Conference on Service-Oriented System Engineering, 2023

Multi-Agent Deep Reinforcement Learning for Weighted Multi-Path Routing.
Proceedings of the 3rd Workshop on Flexible Resource and Application Management on the Edge, 2023

Real-time Monitoring and Analysis of Edge and Cloud Resources.
Proceedings of the 3rd Workshop on Flexible Resource and Application Management on the Edge, 2023

Streamlining XR Application Deployment with a Localized Docker Registry at the Edge.
Proceedings of the Service-Oriented and Cloud Computing, 2023

Intelligent Multi-Domain Edge Orchestration for Highly Distributed Immersive Services: An Immersive Virtual Touring Use Case.
Proceedings of the IEEE International Conference on Edge Computing and Communications, 2023

GNOSIS: Proactive Image Placement Using Graph Neural Networks & Deep Reinforcement Learning.
Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023

2022
Intelligent Horizontal Autoscaling in Edge Computing using a Double Tower Neural Network.
Comput. Networks, 2022

An Automated Pipeline for Advanced Fault Tolerance in Edge Computing Infrastructures.
Proceedings of the FRAME@HPDC 2022: Proceedings of the 2nd Workshop on Flexible Resource and Application Management on the Edge, 2022

Towards a Distributed Storage Framework for Edge Computing Infrastructures.
Proceedings of the FRAME@HPDC 2022: Proceedings of the 2nd Workshop on Flexible Resource and Application Management on the Edge, 2022

2021
Hypertuming GRU Neural Networks for Edge Resource Usage Prediction.
Proceedings of the IEEE Symposium on Computers and Communications, 2021


An Encoder-Decoder Deep Learning Approach for Multistep Service Traffic Prediction.
Proceedings of the Seventh IEEE International Conference on Big Data Computing Service and Applications, 2021

2019
Integrated monitoring system for environmental and river data measurements.
Proceedings of the 13th International Conference on Sensing Technology, 2019

2016
Demand-Side Management ICT for Dynamic Wireless EV Charging.
IEEE Trans. Ind. Electron., 2016

Can multimodal trip planning alter the travelers' mobility behavior? A cross-European study.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Developing ICT Solutions for Dynamic Charging of Electric Vehicles.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2016

2015
A Load Balancing Control Algorithm for EV Static and Dynamic Wireless Charging.
Proceedings of the IEEE 81st Vehicular Technology Conference, 2015


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