| Scalable data processing platform for earth observation data repositories H Astsatryan, A Lalayan, G Giuliani Scalable Computing: Practice and Experience 24 (1), 35-44, 2023 | 13 | 2023 |
| Performance optimization system for hadoop and spark frameworks H Astsatryan, A Kocharyan, D Hagimont, A Lalayan Cybernetics and Information Technologies 20 (6), 5-17, 2020 | 10 | 2020 |
| Performance-efficient recommendation and prediction service for Big Data frameworks focusing on data compression and in-memory data storage indicators H Astsatryan, A Lalayan, A Kocharyan, D Hagimont Scalable Computing: Practice and Experience 22 (4), 401-412, 2021 | 6 | 2021 |
| Scalable data processing and visualization service of Sentinel 5P for Earth Observations Data Cubes H Astsatryan, H Grigoryan, R Abrahamyan, A Lalayan, S Asmaryan, ... Arabian Journal of Geosciences 16 (11), 618, 2023 | 2 | 2023 |
| A Multi-objective Optimization Service for Enhancing Performance and Cost Efficiency in Earth Observation Data Processing Workflows. A Lalayan, H Astsatryan, G Giuliani Baltic Journal of Modern Computing 11 (3), 2023 | 2 | 2023 |
| Data compression-aware performance analysis of dask and spark for earth observation data processing AG Lalayan Mathematical Problems of Computer Science 59, 35-44, 2023 | 2 | 2023 |
| Optimized Multi-Modular Services: Empowering Earth Observation Data Processing A Lalayan, H Astsatryan, S Poghosyan, G Giuliani Informatica 35 (2), 363-378, 2024 | | 2024 |
| EOCSim: A CloudSim-Based Simulator for Earth Observation Data Processing in Clouds A Lalayan, H Astsatryan, G Giuliani International Conference on Large-Scale Scientific Computing, 419-426, 2023 | | 2023 |
| Enhancing Earth Observation Data Processing through Optimized Multi-Modular Service A Lalayan, H Astsatryan, G Giuliani | | |
