Antonios Makris

According to our database, Antonios Makris authored at least 35 papers between 2016 and 2023.

Collaborative distances:

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

2023

Security in Cloud-Native Services: A Survey.

Theodoros Theodoropoulos, Luís Rosa, Chafika Benzaid, Peter Gray, Eduard Marin, Antonios Makris, Luís Cordeiro, Ferran Diego, Pavel Sorokin, Marco Di Girolamo, Paolo Barone, Tarik Taleb, Konstantinos Tserpes

J. Cybersecur. Priv., October, 2023

A lightweight storage framework for edge computing infrastructures/EdgePersist.

Evangelos Psomakelis, Antonios Makris, Konstantinos Tserpes, Maria Pateraki

Softw. Impacts, September, 2023

TraClets: A trajectory representation and classification library.

Ioannis Kontopoulos, Antonios Makris, Konstantinos Tserpes

SoftwareX, 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

An evaluation of time series forecasting models on water consumption data: A case study of Greece.

Ioannis Kontopoulos, Antonios Makris, Konstantinos Tserpes, Theodora A. Varvarigou

CoRR, 2023

GreenKube: Towards Greener Container Orchestration using Artificial Intelligence.

Theodoros Theodoropoulos, Antonios Makris, Ioannis Korontanis, Konstantinos Tserpes

Proceedings of the IEEE International Conference on Service-Oriented System Engineering, 2023

Multi-Service Demand Forecasting Using Graph Neural Networks.

Theodoros Theodoropoulos, Antonios Makris, Ioannis Kontopoulos, Angelos-Christos Maroudis, Konstantinos Tserpes

Proceedings of the IEEE International Conference on Service-Oriented System Engineering, 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

Real-time Monitoring and Analysis of Edge and Cloud Resources.

Ioannis Korontanis, Antonios Makris, Theodoros Theodoropoulos, Konstantinos Tserpes

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.

Antonios Makris, Evangelos Psomakelis, Ioannis Korontanis, Theodoros Theodoropoulos, Antonis Protopsaltis, Maria Pateraki, Zbyszek Ledwon, Christos Diou, Dimosthenis Anagnostopoulos, Konstantinos Tserpes

Proceedings of the Service-Oriented and Cloud Computing, 2023

A real-time trajectory classification module.

Ioannis Kontopoulos, Antonios Makris, Konstantinos Tserpes

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data: Emerging issues and Ethical perspectives 2023, 2023

GNOSIS: Proactive Image Placement Using Graph Neural Networks & Deep Reinforcement Learning.

Theodoros Theodoropoulos, Antonios Makris, Evangelos Psomakelis, Emanuele Carlini, Matteo Mordacchini, Patrizio Dazzi, Konstantinos Tserpes

Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023

2022

TraClets: Harnessing the power of computer vision for trajectory classification.

Ioannis Kontopoulos, Antonios Makris, Konstantinos Tserpes, Vania Bogorny

CoRR, 2022

Benchmarking moving object functionalities of DBMSs using real-world spatiotemporal workload.

Ioannis Kontopoulos, Antonios Makris, Stylianos Nektarios Xyalis, Konstantinos Tserpes

Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 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

Towards a Distributed Storage Framework for Edge Computing Infrastructures.

Antonios Makris, Evangelos Psomakelis, Theodoros Theodoropoulos, Konstantinos Tserpes

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

2021

A Deep Learning Streaming Methodology for Trajectory Classification.

Ioannis Kontopoulos, Antonios Makris, Konstantinos Tserpes

ISPRS Int. J. Geo Inf., 2021

MongoDB Vs PostgreSQL: A comparative study on performance aspects.

Antonios Makris, Konstantinos Tserpes, Giannis Spiliopoulos, Dimitrios Zissis, Dimosthenis Anagnostopoulos

GeoInformatica, 2021

Correction to: MongoDB Vs PostgreSQL: a comparative study on performance aspects.

Antonios Makris, Konstantinos Tserpes, Giannis Spiliopoulos, Dimitrios Zissis, Dimosthenis Anagnostopoulos

GeoInformatica, 2021

Evaluating the effect of compressing algorithms for trajectory similarity and classification problems.

Antonios Makris, Camila Leite da Silva, Vania Bogorny, Luis Otávio Alvares, José Antônio Fernandes de Macêdo, Konstantinos Tserpes

GeoInformatica, 2021

A Comparison of Trajectory Compression Algorithms Over AIS Data.

Antonios Makris, Ioannis Kontopoulos, Panagiotis Alimisis, Konstantinos Tserpes

IEEE Access, 2021

A computer vision approach for trajectory classification.

Ioannis Kontopoulos, Antonios Makris, Dimitris Zissis, Konstantinos Tserpes

Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021

Semi-supervised trajectory classification using convolutional auto-encoders.

Antonios Makris, Ioannis Kontopoulos, Evangelos Psomakelis, Konstantinos Tserpes

Proceedings of the HANIMOB@SIGSPATIAL 2021: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Animal Movement Ecology and Human Mobility, 2021

Data Driven Fleet Monitoring and Circular Economy.

Fotis Oikonomou, Alzahraa Alhaddad, Ioannis Kontopoulos, Antonios Makris, Konstantinos Tserpes, Panagiota Arampatzi, Marc Bonazountas, Hernan Ruiz-Ocampo, Giorgos Demetriou, Vlatka Katusic, Dariusz Dober

Proceedings of the 17th International Conference on Distributed Computing in Sensor Systems, 2021

Cloud for Holography and Augmented Reality.

Antonios Makris, Abderrahmane Boudi, Massimo Coppola, Luís Cordeiro, Massimiliano Corsini, Patrizio Dazzi, Ferran Diego Andilla, Yago González Rozas, Manos N. Kamarianakis, Maria Pateraki, Thu Le Pham, Antonis Protopsaltis, Aravindh Raman, Alessandro Romussi, Luís Rosa, Elena Spatafora, Tarik Taleb, Theodoros Theodoropoulos, Konstantinos Tserpes, Enrico Zschau, Uwe Herzog

Proceedings of the 10th IEEE International Conference on Cloud Networking, CloudNet 2021, 2021

2020

COVID-19 detection from chest X-Ray images using Deep Learning and Convolutional Neural Networks.

Antonios Makris, Ioannis Kontopoulos, Konstantinos Tserpes

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

2019

Parallelization of large-scale drug-protein binding experiments.

Dimitrios Michail, Antonios Makris, Iraklis Varlamis, Mark Sawyer

Future Gener. Comput. Syst., 2019

Implementation of functions in R tool in parallel environment.

Antonios Makris

CoRR, 2019

Database system comparison based on spatiotemporal functionality.

Antonios Makris, Konstantinos Tserpes, Dimosthenis Anagnostopoulos, Mara Nikolaidou, José Antônio Fernandes de Macêdo

Proceedings of the 23rd International Database Applications & Engineering Symposium, 2019

Performance Evaluation of MongoDB and PostgreSQL for Spatio-temporal Data.

Antonios Makris, Konstantinos Tserpes, Giannis Spiliopoulos, Dimosthenis Anagnostopoulos

Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, 2019

2017

Parallelization of Large-Scale Drug-Protein Binding Experiments.

Antonios Makris, Dimitrios Michail, Iraklis Varlamis, Chronis Dimitropoulos, Konstantinos Tserpes, George Tsatsaronis, Joachim Haupt, Mark Sawyer

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

Load balancing for minimizing the average response time of get operations in distributed key-value stores.

Antonios Makris, Konstantinos Tserpes, Dimosthenis Anagnostopoulos, Jörn Altmann

Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control, 2017

A novel object placement protocol for minimizing the average response time of get operations in distributed key-value stores.

Antonios Makris, Konstantinos Tserpes, Dimosthenis Anagnostopoulos

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Load Balancing in In-Memory Key-Value Stores for Response Time Minimization.

Antonios Makris, Konstantinos Tserpes, Dimosthenis Anagnostopoulos

Proceedings of the Economics of Grids, Clouds, Systems, and Services, 2016

A Classification of NoSQL Data Stores Based on Key Design Characteristics.

Antonios Makris, Konstantinos Tserpes, Vassiliki Andronikou, Dimosthenis Anagnostopoulos

Proceedings of the 2nd International Conference on Cloud Forward: From Distributed to Complete Computing, 2016