Dumitru Roman

Vitenskapelige publikasjoner

Schroeder, Daniel Thilo ; Herb, Tobias; Elvesæter, Brian; Roman, Dumitru (2024). GraphMa: Towards new Models for Pipeline-Oriented Computation on Graphs. Balsamo, Simonetta; Knottenbelt, William (Red.). ICPE '24 Companion: Companion of the 15th ACM/SPEC International Conference on Performance Engineering. s. 98-105. ACM Publications.
https://doi.org/10.1145/3629527.3652894

Waszak, Maryna; Moen, Terje; Hansen, Anders; Bouquet, Gregory; Pultier, Antoine; Ma, Xiang; Roman, Dumitru (2024). Vibration Sensors for Detecting Critical Events: A Case Study in Ferrosilicon Production. 12 s. IEEE Access. Vol. 12.
https://doi.org/10.1109/ACCESS.2024.3356067

Khan, Akif Quddus; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru ; Soylu, Ahmet (2024). Cloud storage cost: a taxonomy and survey. World wide web (Bussum). Vol. 27.
https://doi.org/10.1007/s11280-024-01273-4

Khan, Akif Quddus; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru ; Soylu, Ahmet (2024). Cloud storage tier optimization through storage object classification. Computing.
https://doi.org/10.1007/s00607-024-01281-2

Khan, Akif Quddus; Nikolov, Nikolay Vladimirov; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru ; Soylu, Ahmet (2024). A Taxonomy for Cloud Storage Cost. Communications in Computer and Information Science (CCIS).
https://doi.org/10.1007/978-3-031-51643-6_23

Nikolov, Nikolay Vladimirov; Solberg, Arnor; Prodan, Radu; Soylu, Ahmet ; Matskin, Mihhail; Roman, Dumitru (2023). Container-Based Data Pipelines on the Computing Continuum for Remote Patient Monitoring. Computer. Vol. 56.
https://doi.org/10.1109/MC.2023.3285414

Rozanec, Joze; Cochez, Michael; van Bakel, Ruud; Elvesæter, Brian; Roman, Dumitru (2023). Graph-Scrutinizer: Towards Massive Graph Analytics and Reasoning. Vieira, Marco; Cardellini, Valeria (Red.). ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering. s. 251-252. Association for Computing Machinery (ACM).
https://doi.org/10.1145/3578245.3585338

Rozanec, Joze; Elvesæter, Brian; Roman, Dumitru ; Grobelnik, Marko; Haase, Peter (2023). Graph-Inceptor: Towards Extreme Data Ingestion, Massive Graph Creation and Storage. Vieira, Marco; Cardellini, Valeria (Red.). ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering. s. 253-254. Association for Computing Machinery (ACM).
https://doi.org/10.1145/3578245.3585339

Khan, Akif Quddus; Nikolov, Nikolay; Matskin, Minhail; Prodan, Radu; Roman, Dumitru ; Sahin, Bekir; Bussler, Christoph; Soylu, Ahmet (2023). Smart Data Placement Using Storage-as-a-Service Model for Big Data Pipelines. 20 s. Sensors. Vol. 23.
https://doi.org/10.3390/s23020564

Khan, Akif Quddus; Nikolov, Nikolay Vladimirov; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru ; Soylu, Ahmet (2023). Towards Graph-based Cloud Cost Modelling and Optimisation. Cuzzocrea, Alfredo; Sharmin, Moushumi; Teranishi, Yuuichi; Towey, Dave (Red.). 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE conference proceedings.
https://doi.org/10.1109/COMPSAC57700.2023.00203

Formidling

Roman, Dumitru ; Elvesæter, Brian (2023). Introduction to Graph Data. Data Science International Summer School. Bucharest University of Economic Studies.
https://datascience.ase.ro/

Nystad, Erik Johan; Roman, Dumitru ; Martin-Recuerda, Francisco; Waszak, Maryna (2022). Dashboard and Data Pipeline for Academic Network. NorwAI Innovate 2022. Norwegian Research Center for AI Innovation.

Nikolov, Nikolay; Roman, Dumitru (2022). Big Data Pipelines on the Computing Continuum. European Big Data Value Forum: Fueling Industrial AI with Data Pipelines. DataCloud, enRichMyData and Graph-Massivizer projects.

Nikolov, Nikolay; Roman, Dumitru (2022). Big Data Pipelines in DataCloud. InterTwino - DataCloud workshop. Sofia University St. Kliment Ohridski.

Nikolov, Nikolay; Roman, Dumitru ; Elvesæter, Brian; Waszak, Maryna (2022). Data Enrichment and Data Pipelines. Data Science Summer School. Bucharest University of Economic Studies.

Nikolov, Nikolay; Thomas, Aleena; Pultier, Antoine; Roman, Dumitru (2022). SIM-PIPE DryRunner: A tool for simulation/testing of container-based big data pipelines.

Roman, Dumitru ; Elvesæter, Brian (2022). Knowledge Graphs and Graphs Databases. Data Science International Summer School. Bucharest University of Economic Studies (Bucharest Business School), in collaboration with the GATE Institute at Sofia University “St. Kliment Ohridski” and the InterTwino and DataCloud projects.
https://datascience.ase.ro/last-editions/2022-edit

Roman, Dumitru (2021). Forskere skal jakte på verdier i “mørke data”.

Parnas Gulnes, Maren; Soylu, Ahmet ; Roman, Dumitru (2021). Graph-based Management of Neuroscience Data: Representation, Integration and Analysis. ERCIM News.
https://ercim-news.ercim.eu/en125/r-i/graph-based-

Gutiérrez-Basulto, Víctor; Soylu, Ahmet ; Roman, Dumitru ; Kliegr, Tomáš; Giese, Martin (2020). Preface. Lecture Notes in Computer Science (LNCS). Vol. 12173.