A Classification of NoSQL Data Stores Based on Key Design Characteristics. - Antonios Makris; Konstantinos Tserpes; Vassiliki Andronikou; Dimosthenis Anagnostopoulos (Cloud Forward, 2016)

Load Balancing in In-Memory Key-Value Stores for Response Time Minimization. - Antonios Makris; Konstantinos Tserpes; Dimosthenis Anagnostopoulos (GECON, 2016)

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 (IEEE BigData, 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 (ICNSC, 2017)

Parallelization of Large-Scale Drug-Protein Binding Experiments. - Antonios Makris; Dimitrios Michail 001; Iraklis Varlamis; Chronis Dimitropoulos; Konstantinos Tserpes; George Tsatsaronis 001; Joachim Haupt; Mark Sawyer (HPCS, 2017)

Performance Evaluation of MongoDB and PostgreSQL for Spatio-temporal Data. - Antonios Makris; Konstantinos Tserpes; Giannis Spiliopoulos; Dimosthenis Anagnostopoulos (EDBT/ICDT Workshops, 2019)

Database system comparison based on spatiotemporal functionality. - Antonios Makris; Konstantinos Tserpes; Dimosthenis Anagnostopoulos; Mara Nikolaidou; José Antônio Fernandes de Macêdo (IDEAS, 2019)

Implementation of functions in R tool in parallel environment. - Antonios Makris (CoRR, 2019)

Parallelization of large-scale drug-protein binding experiments. - Dimitrios Michail 001; Antonios Makris; Iraklis Varlamis; Mark Sawyer (Future Gener. Comput. Syst., 2019)

COVID-19 detection from chest X-Ray images using Deep Learning and Convolutional Neural Networks. - Antonios Makris; Ioannis Kontopoulos; Konstantinos Tserpes (SETN, 2020)

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; et al. (CloudNet, 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 (DCOSS, 2021)

Semi-supervised trajectory classification using convolutional auto-encoders. - Antonios Makris; Ioannis Kontopoulos; Evangelos Psomakelis; Konstantinos Tserpes (HANIMOB@SIGSPATIAL, 2021)

A computer vision approach for trajectory classification. - Ioannis Kontopoulos; Antonios Makris; Dimitris Zissis; Konstantinos Tserpes (MDM, 2021)

A Comparison of Trajectory Compression Algorithms Over AIS Data. - Antonios Makris; Ioannis Kontopoulos; Panagiotis Alimisis; Konstantinos Tserpes (IEEE Access, 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)

Correction to: MongoDB Vs PostgreSQL: a comparative study on performance aspects. - Antonios Makris; Konstantinos Tserpes; Giannis Spiliopoulos; Dimitrios Zissis; Dimosthenis Anagnostopoulos (GeoInformatica, 2021)

MongoDB Vs PostgreSQL: A comparative study on performance aspects. - Antonios Makris; Konstantinos Tserpes; Giannis Spiliopoulos; Dimitrios Zissis; Dimosthenis Anagnostopoulos (GeoInformatica, 2021)

A Deep Learning Streaming Methodology for Trajectory Classification. - Ioannis Kontopoulos; Antonios Makris; Konstantinos Tserpes (ISPRS Int. J. Geo Inf., 2021)

Towards a Distributed Storage Framework for Edge Computing Infrastructures. - Antonios Makris; Evangelos Psomakelis; Theodoros Theodoropoulos; Konstantinos Tserpes (FRAME@HPDC, 2022)

An Automated Pipeline for Advanced Fault Tolerance in Edge Computing Infrastructures. - Theodoros Theodoropoulos; Antonios Makris; John Violos; Konstantinos Tserpes (FRAME@HPDC, 2022)

Benchmarking moving object functionalities of DBMSs using real-world spatiotemporal workload. - Ioannis Kontopoulos; Antonios Makris; Stylianos Nektarios Xyalis; Konstantinos Tserpes (MDM, 2022)

TraClets: Harnessing the power of computer vision for trajectory classification. - Ioannis Kontopoulos; Antonios Makris; Konstantinos Tserpes; Vania Bogorny (CoRR, 2022)

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 (CLOUD, 2023)

A real-time trajectory classification module. - Ioannis Kontopoulos; Antonios Makris; Konstantinos Tserpes (EMODE@SIGSPATIAL, 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 (ESOCC, 2023)

Real-time Monitoring and Analysis of Edge and Cloud Resources. - Ioannis Korontanis; Antonios Makris; Theodoros Theodoropoulos; Konstantinos Tserpes (FRAME@HPDC, 2023)

Multi-Agent Deep Reinforcement Learning for Weighted Multi-Path Routing. - Theodoros Theodoropoulos; Dimitrios Kafetzis; John Violos; Antonios Makris; Konstantinos Tserpes (FRAME@HPDC, 2023)

Multi-Service Demand Forecasting Using Graph Neural Networks. - Theodoros Theodoropoulos; Antonios Makris; Ioannis Kontopoulos; Angelos-Christos Maroudis; Konstantinos Tserpes (SOSE, 2023)

GreenKube: Towards Greener Container Orchestration using Artificial Intelligence. - Theodoros Theodoropoulos; Antonios Makris; Ioannis Korontanis; Konstantinos Tserpes (SOSE, 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)

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)

TraClets: A trajectory representation and classification library. - Ioannis Kontopoulos; Antonios Makris; Konstantinos Tserpes (SoftwareX, 2023)

A lightweight storage framework for edge computing infrastructures/EdgePersist. - Evangelos Psomakelis; Antonios Makris; Konstantinos Tserpes; Maria Pateraki (Softw. Impacts, 2023)

Security in Cloud-Native Services: A Survey. - Theodoros Theodoropoulos; Luís Rosa 001; Chafika Benzaid; Peter Gray; Eduard Marin; Antonios Makris; Luís Cordeiro; Ferran Diego; Pavel Sorokin; Marco Di Girolamo; Paolo Barone; Tarik Taleb; et al. (J. Cybersecur. Priv., 2023)

Efficient Application Image Management in the Compute Continuum: A Vertex Cover Approach Based on the Think-Like-A-Vertex Paradigm. - Emanuele Carlini; Patrizio Dazzi; Antonios Makris; Matteo Mordacchini; Theodoros Theodoropoulos; Konstantinos Tserpes (CLOUD, 2024)

Urgent Edge Computing. - Patrizio Dazzi; Luca Ferrucci; Marco Danelutto; Konstantinos Tserpes; Antonios Makris; Theodoros Theodoropoulos; Jacopo Massa; Emanuele Carlini; Matteo Mordacchini (FRAME@HPDC, 2024)

Optimizing Resource Allocation in the Edge: A Minimum Weighted Vertex Cover Approach. - Antonios Makris; Emmanouil Maragkoudakis; Ioannis Kontopoulos; Theodoros Theodoropoulos; Ioannis Korontanis; Emanuele Carlini; Matteo Mordacchini; Patrizio Dazzi; Theodora A. Varvarigou (FRAME@HPDC, 2024)

A spatio-temporal matrix representation for trajectory classification. - Ioannis Kontopoulos; Iraklis Varlamis; Antonios Makris; Konstantinos Tserpes (SIGSPATIAL/GIS, 2024)

A New Approach for Evaluating the Performance of Distributed Latency-Sensitive Services. - Theodoros Theodoropoulos; John Violos; Antonios Makris; Konstantinos Tserpes (ICC Workshops, 2024)

An Efficient Storage Solution for Cloud/Edge Computing Infrastructures : (Invited Paper). - Antonios Makris; Ioannis Korontanis; Evangelos Psomakelis; Konstantinos Tserpes (SOSE, 2024)

WEST GCN-LSTM: Weighted Stacked Spatio-Temporal Graph Neural Networks for Regional Traffic Forecasting. - Theodoros Theodoropoulos; Angelos-Christos Maroudis; Antonios Makris; Konstantinos Tserpes (CoRR, 2024)

Graph Neural Networks and Reinforcement Learning for Proactive Application Image Placement. - Antonios Makris; Theodoros Theodoropoulos; Evangelos Psomakelis; Emanuele Carlini; Matteo Mordacchini; Patrizio Dazzi; Konstantinos Tserpes (CoRR, 2024)

Converter: A CEAML Reasoner Python package to Streamline Orchestration Across Cloud and Edge Continuum. - Ioannis Korontanis; Antonios Makris; Konstantinos Tserpes (CoRR, 2024)

Pro-active component image placement in Edge computing environments. - Antonios Makris; Evangelos Psomakelis; Emanuele Carlini; Matteo Mordacchini; Theodoros Theodoropoulos; Patrizio Dazzi; Konstantinos Tserpes (Future Gener. Comput. Syst., 2024)

StreamK3s: A K3s-Based Data Stream Processing Platform for Simplifying Pipeline Creation, Deployment, and Scaling. - Ioannis Korontanis; Antonios Makris; Alexandros Kontogiannis; Iraklis Varlamis; Konstantinos Tserpes (SoftwareX, 2024)

EdgeCloud Mon: A lightweight monitoring stack for K3s clusters. - Ioannis Korontanis; Antonios Makris; Konstantinos Tserpes (SoftwareX, 2024)

Edge-driven Docker registry: facilitating XR application deployment. - Antonios Makris; Evangelos Psomakelis; Ioannis Korontanis; Theodoros Theodoropoulos; Ioannis Kontopoulos; Maria Pateraki; Christos Diou; Konstantinos Tserpes (Computing, 2024)

WEST GCN-LSTM: Weighted stacked spatio-temporal graph neural networks for regional traffic forecasting. - Theodoros Theodoropoulos; Angelos-Christos Maroudis; Uwe Zdun; Antonios Makris; Konstantinos Tserpes (Int. J. Inf. Manag. Data Insights, 2025)

Cross-Cluster Networking to Support Extended Reality Services. - Theodoros Theodoropoulos; Luís Rosa 001; Abderrahmane Boudi; Tarik Zakaria Benmerar; Antonios Makris; Tarik Taleb; Luís Cordeiro; Konstantinos Tserpes; JaeSeung Song (IEEE Netw., 2025)

Ceaml: A novel modeling language for enabling cloud and edge continuum orchestration. - Ioannis Korontanis; Antonios Makris; Konstantinos Tserpes (Softw. Syst. Model., 2025)

GraphOpticon: A Global proactive horizontal autoscaler for improved service performance & resource consumption. - Theodoros Theodoropoulos; Yashwant Singh Patel; Uwe Zdun; Paul Townend; Ioannis Korontanis; Antonios Makris; Konstantinos Tserpes (Future Gener. Comput. Syst., 2026)