John Violos

发表

User Behavior and Application Modeling in Decentralized Edge Cloud Infrastructures

Jörn Altmann, Patrizio Dazzi, Konstantinos Tserpes, 2017, GECON.

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

John Violos, Theodora A. Varvarigou, Fotis Aisopos, 2016, 2016 IEEE Second International Conference on Big Data Computing Service and Applications (BigDataService).

Dynamic Resource Selection in Cloud Service Broker

Jörn Altmann, Patrizio Dazzi, John Violos, 2017, 2017 International Conference on High Performance Computing & Simulation (HPCS).

Mapping of Quality of Service Requirements to Resource Demands for IaaS

Alexandros Psychas, John Violos, Theodora A. Varvarigou, 2019, CLOSER.

Sentiment Analysis using Word-Graphs

Konstantinos Tserpes, John Violos, Theodora A. Varvarigou, 2016, WIMS.

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

Theodora Varvarigou, Alexandros Psychas, John Violos, 2020, Future Gener. Comput. Syst..

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

Konstantinos Tserpes, John Violos, Theodora A. Varvarigou, 2019, COINS.

Next Position Prediction using LSTM Neural Networks

Theodora Varvarigou, John Violos, Maro Androutsopoulou, 2020, SETN.

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

Netsanet Haile, Jörn Altmann, Patrizio Dazzi, 2017, GECON.

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

Theodora Varvarigou, Iraklis Varlamis, Konstantinos Tserpes, 2018, Front. Appl. Math. Stat..

Clustering Documents using the 3-Gram Graph Representation Model

Konstantinos Tserpes, John Violos, Theodora A. Varvarigou, 2014, Panhellenic Conference on Informatics.

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

John Violos, Theodora A. Varvarigou, Evangelos Psomakelis, 2020, GECON.

Predicting Visitor Distribution for Large Events in Smart Cities

Konstantinos Tserpes, John Violos, Theodora A. Varvarigou, 2019, 2019 IEEE International Conference on Big Data and Smart Computing (BigComp).

THE EUROPEAN CODE OF CONDUCT ON CLOUD SERVICES AND DATA PORTABILITY: WHAT CHANGES IN THE CLOUD ECOSYSTEM

Theodora Varvarigou, John Violos, Christos Kontzinos, 2020, Proceedings of the 13 th IADIS International Conference Information Systems 2020.

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

Symeon Papavassiliou, Nathalie Mitton, John Violos, 2021, Comput. Networks.

Hypertuming GRU Neural Networks for Edge Resource Usage Prediction

Konstantinos Tserpes, John Violos, Theodora A. Varvarigou, 2021, 2021 IEEE Symposium on Computers and Communications (ISCC).

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

Theodora Varvarigou, Konstantinos Tserpes, John Violos, 2021, SAI.

Vania Bogorny, Raffaele Perego, Chiara Renso, 2021, SAC.

Automated and Reproducible Application Traces Generation for IoT Applications

Nathalie Mitton, John Violos, Aris Leivadeas, 2021, Q2SWinet.

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

Maria Pateraki, Patrizio Dazzi, Konstantinos Tserpes, 2021, FRAME@HPDC.

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

Konstantinos Tserpes, John Violos, Theodoros Theodoropoulos, 2021, 2021 IEEE Seventh International Conference on Big Data Computing Service and Applications (BigDataService).

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

John Violos, Aris Leivadeas, Stylianos Tsanakas, 2021, MobiWac.