John Violos

According to our database, John Violos authored at least 48 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Enabling semi-supervised learning in intrusion detection systems.

Panagis Sarantos, John Violos, Aris Leivadeas

J. Parallel Distributed Comput., 2025

Reducing inference energy consumption using dual complementary CNNs.

Michail Kinnas, John Violos, Ioannis Kompatsiaris, Symeon Papadopoulos

Future Gener. Comput. Syst., 2025

Feature Bagging with Nested Rotations (FBNR) for anomaly detection in multivariate time series.

Anastasios Iliopoulos, John Violos, Christos Diou, Iraklis Varlamis

Future Gener. Comput. Syst., 2025

2024

Leveraging Graph Neural Networks for SLA Violation Prediction in Cloud Computing.

Angelos-Christos Maroudis, Theodoros Theodoropoulos, John Violos, Aris Leivadeas, Konstantinos Tserpes

IEEE Trans. Netw. Serv. Manag., February, 2024

Leveraging pervasive computing for ambient intelligence: A survey on recent advancements, applications and open challenges.

Athanasios Bimpas, John Violos, Aris Leivadeas, Iraklis Varlamis

Comput. Networks, February, 2024

A light-weight edge-enabled knowledge distillation technique for next location prediction of multitude transportation means.

Stylianos Tsanakas, Aroosa Hameed, John Violos, Aris Leivadeas

Future Gener. Comput. Syst., 2024

Mitigating Alert Fatigue in Cloud Monitoring Systems: A Machine Learning Perspective.

Fotios Voutsas, John Violos, Aris Leivadeas

Comput. Networks, 2024

A New Approach for Evaluating the Performance of Distributed Latency-Sensitive Services.

Theodoros Theodoropoulos, John Violos, Antonios Makris, Konstantinos Tserpes

Proceedings of the IEEE International Conference on Communications Workshops, 2024

Towards Optimal Trade-Offs in Knowledge Distillation for CNNs and Vision Transformers at the Edge.

John Violos, Symeon Papadopoulos, Ioannis Kompatsiaris

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Enabling Artificial Intelligent Virtual Sensors in an IoT Environment.

Georgios Stavropoulos, John Violos, Stylianos Tsanakas, Aris Leivadeas

Sensors, February, 2023

Graph neural networks for representing multivariate resource usage: A multiplayer mobile gaming case-study.

Theodoros Theodoropoulos, Antonios Makris, Ioannis Kontopoulos, John Violos, Przemyslaw Tarkowski, Zbyszek Ledwon, Patrizio Dazzi, Konstantinos Tserpes

Int. J. Inf. Manag. Data Insights, 2023

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

Theodoros Theodoropoulos, John Violos, Stylianos Tsanakas, Aris Leivadeas, Konstantinos Tserpes, Theodora A. Varvarigou

CoRR, 2023

Toward Intent-Based Network Automation for Smart Environments: A Healthcare 4.0 Use Case.

Yosra Njah, Aris Leivadeas, John Violos, Matthias Falkner

IEEE Access, 2023

A Fault Detection Mechanism for Database Management Systems on Mobile Edge Computing.

Fotios Voutsas, John Violos, Aris Leivadeas

Proceedings of the 11th IEEE International Conference on Mobile Cloud Computing, 2023

Enhancing Virtual Sensors to deal with Missing Values and Low Sampling Rates.

Georgios Anagnostopoulos, Georgios Stavropoulos, John Violos, Aris Leivadeas, Iraklis Varlamis

Proceedings of the 11th IEEE International Conference on Mobile Cloud Computing, 2023

Multi-Agent Deep Reinforcement Learning for Weighted Multi-Path Routing.

Theodoros Theodoropoulos, Dimitrios Kafetzis, John Violos, Antonios Makris, Konstantinos Tserpes

Proceedings of the 3rd Workshop on Flexible Resource and Application Management on the Edge, 2023

A Brief Review of Population-based Methods for Task Offloading in Cloud-to-Edge Continuum.

Athanasios Chourlias, Theodoros Theodoropoulos, John Violos, Aris Leivadeas, Konstantinos Tserpes, Christos-Kyprianos Zalachoris

Proceedings of the 12th IEEE International Conference on Cloud Networking, 2023

Detection of Anomalies in Multivariate Time Series Using Ensemble Techniques.

Anastasios Iliopoulos, John Violos, Christos Diou, Iraklis Varlamis

Proceedings of the IEEE Ninth International Conference on Big Data Computing Service and Applications, 2023

2022

Toward QoS Prediction Based on Temporal Transformers for IoT Applications.

Aroosa Hameed, John Violos, Aris Leivadeas, Nina Santi, Rémy Grünblatt, Nathalie Mitton

IEEE Trans. Netw. Serv. Manag., December, 2022

Intelligent Horizontal Autoscaling in Edge Computing using a Double Tower Neural Network.

John Violos, Stylianos Tsanakas, Theodoros Theodoropoulos, Aris Leivadeas, Konstantinos Tserpes, Theodora A. Varvarigou

Comput. Networks, 2022

A Deep Learning Approach for IoT Traffic Multi-Classification in a Smart-City Scenario.

Aroosa Hameed, John Violos, Aris Leivadeas

IEEE Access, 2022

An Unsupervised Machine Learning Approach for IoT Device Categorization.

Faïçal Sawadogo, John Violos, Aroosa Hameed, Aris Leivadeas

Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2022

Multi-Level Cognitive, Risk-Aware Reconfiguration of the Level of Autonomy in Highly Automated Vehicles.

Konstantina Karathanasopoulou, Angelos-Christos Maroudis, George Dimitrakopoulos, Elias Panagiotopoulos, John Violos

Proceedings of the IECON 2022, 2022

An Automated Pipeline for Advanced Fault Tolerance in Edge Computing Infrastructures.

Theodoros Theodoropoulos, Antonios Makris, John Violos, Konstantinos Tserpes

Proceedings of the FRAME@HPDC 2022: Proceedings of the 2nd Workshop on Flexible Resource and Application Management on the Edge, 2022

2021

Task offloading in Edge and Cloud Computing: A survey on mathematical, artificial intelligence and control theory solutions.

Firdose Saeik, Marios Avgeris, Dimitrios Spatharakis, Nina Santi, Dimitrios Dechouniotis, John Violos, Aris Leivadeas, Nikolaos Athanasopoulos, Nathalie Mitton, Symeon Papavassiliou

Comput. Networks, 2021

Predicting Resource Usage in Edge Computing Infrastructures with CNN and a Hybrid Bayesian Particle Swarm Hyper-parameter Optimization Model.

John Violos, Tita Pagoulatou, Stylianos Tsanakas, Konstantinos Tserpes, Theodora A. Varvarigou

Proceedings of the Intelligent Computing, 2021

A novel similarity measure for multiple aspect trajectory clustering.

Iraklis Varlamis, Christos Sardianos, Vania Bogorny, Luis Otávio Alvares, Jônata Tyska Carvalho, Chiara Renso, Raffaele Perego, John Violos

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Automated and Reproducible Application Traces Generation for IoT Applications.

Nina Santi, Rémy Grünblatt, Brandon Foubert, Aroosa Hameed, John Violos, Aris Leivadeas, Nathalie Mitton

Proceedings of the Q2SWinet 2021: Proceedings of the 17th ACM Symposium on QoS and Security for Wireless and Mobile Networks, 2021

An Innovative Neuro-Genetic Algorithm and Geometric Loss Function for Mobility Prediction.

Stylianos Tsanakas, Aroosa Hameed, John Violos, Aris Leivadeas

Proceedings of the MobiWac '21: Proceedings of the 19th ACM International Symposium on Mobility Management and Wireless Access, Alicante, Spain, November 22, 2021

User Association and Behavioral Characterization during Task Offloading at the Edge.

Firdose Saeik, John Violos, Aris Leivadeas, Marios Avgeris, Dimitrios Spatharakis, Dimitrios Dechouniotis

Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2021

A Machine Learning Regression Approach for Throughput Estimation in an IoT Environment.

Aroosa Hameed, John Violos, Nina Santi, Aris Leivadeas, Nathalie Mitton

Proceedings of the 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2021

Hypertuming GRU Neural Networks for Edge Resource Usage Prediction.

John Violos, Stylianos Tsanakas, Theodoros Theodoropoulos, Aris Leivadeas, Konstantinos Tserpes, Theodora A. Varvarigou

Proceedings of the IEEE Symposium on Computers and Communications, 2021

Inter-operability and Orchestration in Heterogeneous Cloud/Edge Resources: The ACCORDION Vision.

Ioannis Korontanis, Konstantinos Tserpes, Maria Pateraki, Lorenzo Blasi, John Violos, Ferran Diego, Eduard Marin, Nicolas Kourtellis, Massimo Coppola, Emanuele Carlini, Zbyszek Ledwon, Przemyslaw Tarkowski, Thomas Loven, Yago González Rozas, Mike Kentros, Michael Dodis, Patrizio Dazzi

Proceedings of the FRAME@HPDC 2021: Proceedings of the 1st Workshop on Flexible Resource and Application Management on the Edge, 2021

An Encoder-Decoder Deep Learning Approach for Multistep Service Traffic Prediction.

Theodoros Theodoropoulos, Angelos-Christos Maroudis, John Violos, Konstantinos Tserpes

Proceedings of the Seventh IEEE International Conference on Big Data Computing Service and Applications, 2021

2020

Cloud toolkit for Provider assessment, optimized Application Cloudification and deployment on IaaS.

Alexandros Psychas, John Violos, Fotis Aisopos, Athanasia Evangelinou, George Kousiouris, Ioannis Bouras, Theodora A. Varvarigou, G. Xidas, Dimitrios Charilas, Yiannis Stavroulas

Future Gener. Comput. Syst., 2020

Next Position Prediction using LSTM Neural Networks.

John Violos, Stylianos Tsanakas, Maro Androutsopoulou, Georgios Palaiokrassas, Theodora A. Varvarigou

Proceedings of the SETN 2020: 11th Hellenic Conference on Artificial Intelligence, 2020

Using LSTM Neural Networks as Resource Utilization Predictors: The Case of Training Deep Learning Models on the Edge.

John Violos, Evangelos Psomakelis, Dimitrios Danopoulos, Stylianos Tsanakas, Theodora A. Varvarigou

Proceedings of the Economics of Grids, Clouds, Systems, and Services, 2020

2019

Leveraging User Mobility and Mobile App Services Behavior for Optimal Edge Resource Utilization.

John Violos, Evangelos Psomakelis, Konstantinos Tserpes, Fotis Aisopos, Theodora A. Varvarigou

Proceedings of the International Conference on Omni-Layer Intelligent Systems, 2019

Mapping of Quality of Service Requirements to Resource Demands for IaaS.

Ioannis Bouras, Fotis Aisopos, John Violos, George Kousiouris, Alexandros Psychas, Theodora A. Varvarigou, Gerasimos Xydas, Dimitrios Charilas, Yiannis Stavroulas

Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019

Predicting Visitor Distribution for Large Events in Smart Cities.

John Violos, Sotiris Pelekis, Anastasis Berdelis, Stylianos Tsanakas, Konstantinos Tserpes, Theodora A. Varvarigou

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019

2018

Text Classification Using the N-Gram Graph Representation Model Over High Frequency Data Streams.

John Violos, Konstantinos Tserpes, Iraklis Varlamis, Theodora A. Varvarigou

Frontiers Appl. Math. Stat., 2018

2017

Dynamic Resource Selection in Cloud Service Broker.

Ganis Zulfa Santoso, Young-Woo Jung, Seong-Woo Seok, Emanuele Carlini, Patrizio Dazzi, Jörn Altmann, John Violos, Jamie Marshall

Proceedings of the 2017 International Conference on High Performance Computing & Simulation, 2017

User Behavior and Application Modeling in Decentralized Edge Cloud Infrastructures.

John Violos, Vinicius Monteiro de Lira, Patrizio Dazzi, Jörn Altmann, Baseem Al-athwari, Antonia Schwichtenberg, Young-Woo Jung, Theodora A. Varvarigou, Konstantinos Tserpes

Proceedings of the Economics of Grids, Clouds, Systems, and Services, 2017

BASMATI: An Architecture for Managing Cloud and Edge Resources for Mobile Users.

Jörn Altmann, Baseem Al-athwari, Emanuele Carlini, Massimo Coppola, Patrizio Dazzi, Ana Juan Ferrer, Netsanet Haile, Young-Woo Jung, Jamie Marshall, Enric Pages, Evangelos Psomakelis, Ganis Zulfa Santoso, Konstantinos Tserpes, John Violos

Proceedings of the Economics of Grids, Clouds, Systems, and Services, 2017

BASMATI: Cloud Brokerage Across Borders for Mobile Users and Applications.

Emanuele Carlini, Massimo Coppola, Patrizio Dazzi, Konstantinos Tserpes, John Violos, Young-Woo Jung, Ganis Zulfa Santoso, Jörn Altmann, Jamie Marshall, Enric Pages, Myoungjin Kim

Proceedings of the Advances in Service-Oriented and Cloud Computing, 2017

2016

Sentiment Analysis using Word-Graphs.

John Violos, Konstantinos Tserpes, Evangelos Psomakelis, Konstantinos Psychas, Theodora A. Varvarigou

Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics, 2016

Using N-Gram Graphs for Sentiment Analysis: An Extended Study on Twitter.

Fotis Aisopos, Dimitrios Tzannetos, John Violos, Theodora A. Varvarigou

Proceedings of the Second IEEE International Conference on Big Data Computing Service and Applications, 2016

2014

Clustering Documents using the 3-Gram Graph Representation Model.

John Violos, Konstantinos Tserpes, Athanasios Papaoikonomou, Magdalini Kardara, Theodora A. Varvarigou

Proceedings of the 18th Panhellenic Conference on Informatics, 2014