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ORCIDAntonios Makris
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2020 – today
- 2024
[j14]Antonios Makris, Evangelos Psomakelis, Ioannis Korontanis, Theodoros Theodoropoulos, Ioannis Kontopoulos, Maria Pateraki, Christos Diou, Konstantinos Tserpes:
Edge-driven Docker registry: facilitating XR application deployment. Computing 106(11): 3479-3501 (2024)- [j13]Antonios Makris
, Evangelos Psomakelis, Emanuele Carlini, Matteo Mordacchini, Theodoros Theodoropoulos, Patrizio Dazzi, Konstantinos Tserpes:
Pro-active component image placement in Edge computing environments. Future Gener. Comput. Syst. 157: 344-359 (2024) - [j12]Ioannis Korontanis, Antonios Makris, Konstantinos Tserpes:
EdgeCloud Mon: A lightweight monitoring stack for K3s clusters. SoftwareX 26: 101675 (2024) - [j11]Ioannis Korontanis, Antonios Makris, Alexandros Kontogiannis, Iraklis Varlamis, Konstantinos Tserpes:
StreamK3s: A K3s-Based Data Stream Processing Platform for Simplifying Pipeline Creation, Deployment, and Scaling. SoftwareX 27: 101786 (2024) - [c27]Emanuele Carlini, Patrizio Dazzi, Antonios Makris, Matteo Mordacchini, Theodoros Theodoropoulos, Konstantinos Tserpes:
Efficient Application Image Management in the Compute Continuum: A Vertex Cover Approach Based on the Think-Like-A-Vertex Paradigm. CLOUD 2024: 399-403 - [c26]Patrizio Dazzi, Luca Ferrucci, Marco Danelutto, Konstantinos Tserpes, Antonios Makris, Theodoros Theodoropoulos, Jacopo Massa, Emanuele Carlini, Matteo Mordacchini:
Urgent Edge Computing. FRAME@HPDC 2024 - [c25]Antonios Makris, Emmanouil Maragkoudakis, Ioannis Kontopoulos, Theodoros Theodoropoulos, Ioannis Korontanis, Emanuele Carlini, Matteo Mordacchini, Patrizio Dazzi, Theodora A. Varvarigou:
Optimizing Resource Allocation in the Edge: A Minimum Weighted Vertex Cover Approach. FRAME@HPDC 2024 - [c24]Theodoros Theodoropoulos, John Violos, Antonios Makris, Konstantinos Tserpes:
A New Approach for Evaluating the Performance of Distributed Latency-Sensitive Services. ICC Workshops 2024: 365-370 - [c23]Antonios Makris, Ioannis Korontanis, Evangelos Psomakelis, Konstantinos Tserpes:
An Efficient Storage Solution for Cloud/Edge Computing Infrastructures : (Invited Paper). SoSE 2024: 92-101 - [i9]Patrizio Dazzi, Luca Ferrucci, Marco Danelutto, Konstantinos Tserpes, Antonios Makris, Theodoros Theodoropoulos, Jacopo Massa, Emanuele Carlini, Matteo Mordacchini:
Urgent Edge Computing. CoRR abs/2404.13411 (2024) - [i8]Theodoros Theodoropoulos, Luís Rosa, Abderrahmane Boudi, Tarik Zakaria Benmerar, Antonios Makris, Tarik Taleb, Luís Cordeiro, Konstantinos Tserpes, JaeSeung Song:
Cross-Cluster Networking to Support Extended Reality Services. CoRR abs/2405.00558 (2024) - [i7]Theodoros Theodoropoulos, Angelos-Christos Maroudis, Antonios Makris, Konstantinos Tserpes:
WEST GCN-LSTM: Weighted Stacked Spatio-Temporal Graph Neural Networks for Regional Traffic Forecasting. CoRR abs/2405.00570 (2024) - [i6]Antonios Makris, Theodoros Theodoropoulos, Evangelos Psomakelis, Emanuele Carlini, Matteo Mordacchini, Patrizio Dazzi, Konstantinos Tserpes:
Graph Neural Networks and Reinforcement Learning for Proactive Application Image Placement. CoRR abs/2407.00007 (2024) - [i5]Ioannis Korontanis, Antonios Makris, Konstantinos Tserpes:
Converter: A CEAML Reasoner Python package to Streamline Orchestration Across Cloud and Edge Continuum. CoRR abs/2407.00012 (2024) - [i4]Theodoros Theodoropoulos, John Violos, Antonios Makris, Konstantinos Tserpes:
A New Approach for Evaluating the Performance of Distributed Latency-Sensitive Services. CoRR abs/2407.00015 (2024) - 2023
- [j10]Theodoros Theodoropoulos, Antonios Makris, Ioannis Kontopoulos, John Violos, Przemyslaw Tarkowski, Zbyszek Ledwon, Patrizio Dazzi, Konstantinos Tserpes:
Graph neural networks for representing multivariate resource usage: A multiplayer mobile gaming case-study. Int. J. Inf. Manag. Data Insights 3(1): 100158 (2023) - [j9]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:
Security in Cloud-Native Services: A Survey. J. Cybersecur. Priv. 3(4): 758-793 (2023) - [j8]Evangelos Psomakelis, Antonios Makris, Konstantinos Tserpes, Maria Pateraki:
A lightweight storage framework for edge computing infrastructures/EdgePersist. Softw. Impacts 17: 100549 (2023) - [j7]Ioannis Kontopoulos, Antonios Makris, Konstantinos Tserpes:
TraClets: A trajectory representation and classification library. SoftwareX 21: 101306 (2023) - [c22]Theodoros Theodoropoulos, Antonios Makris, Evangelos Psomakelis, Emanuele Carlini, Matteo Mordacchini, Patrizio Dazzi, Konstantinos Tserpes:
GNOSIS: Proactive Image Placement Using Graph Neural Networks & Deep Reinforcement Learning. CLOUD 2023: 120-128 - [c21]Ioannis Kontopoulos, Antonios Makris, Konstantinos Tserpes:
A real-time trajectory classification module. EMODE@SIGSPATIAL 2023: 11-14 - [c20]Antonios Makris, Evangelos Psomakelis, Ioannis Korontanis, Theodoros Theodoropoulos, Antonis Protopsaltis, Maria Pateraki, Zbyszek Ledwon, Christos Diou, Dimosthenis Anagnostopoulos, Konstantinos Tserpes:
Streamlining XR Application Deployment with a Localized Docker Registry at the Edge. ESOCC 2023: 188-202 - [c19]Theodoros Theodoropoulos, Dimitrios Kafetzis, John Violos, Antonios Makris, Konstantinos Tserpes:
Multi-Agent Deep Reinforcement Learning for Weighted Multi-Path Routing. FRAME@HPDC 2023: 7-11 - [c18]Ioannis Korontanis, Antonios Makris, Theodoros Theodoropoulos, Konstantinos Tserpes:
Real-time Monitoring and Analysis of Edge and Cloud Resources. FRAME@HPDC 2023: 13-18 - [c17]Theodoros Theodoropoulos, Antonios Makris, Ioannis Korontanis, Konstantinos Tserpes:
GreenKube: Towards Greener Container Orchestration using Artificial Intelligence. SOSE 2023: 135-139 - [c16]Theodoros Theodoropoulos, Antonios Makris, Ioannis Kontopoulos, Angelos-Christos Maroudis, Konstantinos Tserpes:
Multi-Service Demand Forecasting Using Graph Neural Networks. SOSE 2023: 218-226 - [i3]Ioannis Kontopoulos, Antonios Makris, Konstantinos Tserpes, Theodora A. Varvarigou:
An evaluation of time series forecasting models on water consumption data: A case study of Greece. CoRR abs/2303.17617 (2023) - 2022
- [c15]Antonios Makris, Evangelos Psomakelis, Theodoros Theodoropoulos, Konstantinos Tserpes:
Towards a Distributed Storage Framework for Edge Computing Infrastructures. FRAME@HPDC 2022: 9-14 - [c14]Theodoros Theodoropoulos, Antonios Makris, John Violos, Konstantinos Tserpes:
An Automated Pipeline for Advanced Fault Tolerance in Edge Computing Infrastructures. FRAME@HPDC 2022: 19-24 - [c13]Ioannis Kontopoulos, Antonios Makris, Stylianos Nektarios Xyalis, Konstantinos Tserpes:
Benchmarking moving object functionalities of DBMSs using real-world spatiotemporal workload. MDM 2022: 388-393 - [i2]Ioannis Kontopoulos, Antonios Makris, Konstantinos Tserpes, Vania Bogorny:
TraClets: Harnessing the power of computer vision for trajectory classification. CoRR abs/2205.13880 (2022) - 2021
- [j6]Antonios Makris, Ioannis Kontopoulos, Panagiotis Alimisis, Konstantinos Tserpes:
A Comparison of Trajectory Compression Algorithms Over AIS Data. IEEE Access 9: 92516-92530 (2021) - [j5]Antonios Makris, Konstantinos Tserpes, Giannis Spiliopoulos, Dimitrios Zissis, Dimosthenis Anagnostopoulos:
Correction to: MongoDB Vs PostgreSQL: a comparative study on performance aspects. GeoInformatica 25(1): 241-242 (2021) - [j4]Antonios Makris, Konstantinos Tserpes, Giannis Spiliopoulos, Dimitrios Zissis, Dimosthenis Anagnostopoulos:
MongoDB Vs PostgreSQL: A comparative study on performance aspects. GeoInformatica 25(2): 243-268 (2021) - [j3]Antonios Makris, Camila Leite da Silva, Vania Bogorny, Luis Otávio Alvares, José Antônio Fernandes de Macêdo, Konstantinos Tserpes:
Evaluating the effect of compressing algorithms for trajectory similarity and classification problems. GeoInformatica 25(4): 679-711 (2021) - [j2]Ioannis Kontopoulos, Antonios Makris, Konstantinos Tserpes:
A Deep Learning Streaming Methodology for Trajectory Classification. ISPRS Int. J. Geo Inf. 10(4): 250 (2021) - [c12]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:
Cloud for Holography and Augmented Reality. CloudNet 2021: 118-126 - [c11]Fotis Oikonomou, Alzahraa Alhaddad, Ioannis Kontopoulos, Antonios Makris, Konstantinos Tserpes, Panagiota Arampatzi, Marc Bonazountas, Hernan Ruiz-Ocampo, Giorgos Demetriou, Vlatka Katusic, Dariusz Dober:
Data Driven Fleet Monitoring and Circular Economy. DCOSS 2021: 483-488 - [c10]Antonios Makris, Ioannis Kontopoulos, Evangelos Psomakelis, Konstantinos Tserpes:
Semi-supervised trajectory classification using convolutional auto-encoders. HANIMOB@SIGSPATIAL 2021: 27-32 - [c9]Ioannis Kontopoulos, Antonios Makris, Dimitris Zissis, Konstantinos Tserpes:
A computer vision approach for trajectory classification. MDM 2021: 163-168 - [e1]Massimo Cafaro, Luca Ferrucci, Hanna Kavalionak, Antonios Makris:
FRAME@HPDC 2021: Proceedings of the 1st Workshop on Flexible Resource and Application Management on the Edge, Virtual Event, Sweden, 25 June, 2021. ACM 2021, ISBN 978-1-4503-8384-4 [contents] - 2020
- [c8]Antonios Makris, Ioannis Kontopoulos, Konstantinos Tserpes:
COVID-19 detection from chest X-Ray images using Deep Learning and Convolutional Neural Networks. SETN 2020: 60-66
2010 – 2019
- 2019
- [j1]Dimitrios Michail, Antonios Makris, Iraklis Varlamis, Mark Sawyer:
Parallelization of large-scale drug-protein binding experiments. Future Gener. Comput. Syst. 97: 492-502 (2019) - [c7]Antonios Makris, Konstantinos Tserpes, Giannis Spiliopoulos, Dimosthenis Anagnostopoulos:
Performance Evaluation of MongoDB and PostgreSQL for Spatio-temporal Data. EDBT/ICDT Workshops 2019 - [c6]Antonios Makris, Konstantinos Tserpes, Dimosthenis Anagnostopoulos, Mara Nikolaidou, José Antônio Fernandes de Macêdo:
Database system comparison based on spatiotemporal functionality. IDEAS 2019: 21:1-21:7 - [i1]Antonios Makris:
Implementation of functions in R tool in parallel environment. CoRR abs/1905.06237 (2019) - 2017
- [c5]Antonios Makris, Konstantinos Tserpes, Dimosthenis Anagnostopoulos:
A novel object placement protocol for minimizing the average response time of get operations in distributed key-value stores. IEEE BigData 2017: 3196-3205 - [c4]Antonios Makris, Konstantinos Tserpes, Dimosthenis Anagnostopoulos, Jörn Altmann:
Load balancing for minimizing the average response time of get operations in distributed key-value stores. ICNSC 2017: 263-269 - [c3]Antonios Makris, Dimitrios Michail, Iraklis Varlamis, Chronis Dimitropoulos, Konstantinos Tserpes, George Tsatsaronis, Joachim Haupt, Mark Sawyer:
Parallelization of Large-Scale Drug-Protein Binding Experiments. HPCS 2017: 201-208 - 2016
- [c2]Antonios Makris, Konstantinos Tserpes, Vassiliki Andronikou, Dimosthenis Anagnostopoulos:
A Classification of NoSQL Data Stores Based on Key Design Characteristics. Cloud Forward 2016: 94-103 - [c1]Antonios Makris, Konstantinos Tserpes, Dimosthenis Anagnostopoulos:
Load Balancing in In-Memory Key-Value Stores for Response Time Minimization. GECON 2016: 62-73
Coauthor Index
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last updated on 2024-10-30 20:33 CET by the dblp team
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