Optimizing the energy efficiency of information systems: a comparative study of data delivery architectures from Agrosyst
Abstract
The increase in energy consumption by data centers, which is projected to double between 2024 and 2026, and more generally the growing impact of digital technology on the climate, justify the need to consider the best technological solutions regarding their energy consumption. As part of the evolution of the methods for providing agricultural data from more than 2,000 farms and experiments in the DEPHY network, stored in the Agrosyst Information System, to researchers and data scientists, the issue of optimizing energy efficiency has emerged. Two types of data delivery architecture are being compared: a traditional architecture characterized by the systematic storage of final tables, and an architecture characterized by the creation of numerous intermediate tables and an “on-demand” generation process. The study shows that the choice between these architectures depends on the volume and specificity of the queries. Given the current usage patterns of the Agrosyst system, it seems justified to change the architecture, thereby reducing server storage and favoring the execution of certain procedures at each instance of data generation. This paradigm shift could reduce the energy consumption of the data provisioning system by at least half. We believe that the methodology used for this analysis has a broad applicability and may show potential interest for other similar situations. This work lays the foundation for systematically considering energy efficiency in future developments of the Agrosyst Information System and could support the development of a more robust and generalizable methodological framework.
Related
- Optimizing water and nutrient delivery through precision drip fertigation boosts fennel productivity and resource-use efficiency in arid agroecosystems
- Every drop counts: optimizing water use efficiency for sustainable tomato production
- Optimizing irrigation and nitrogen management enhances yield, resource efficiency, and fruit quality in global citrus systems: A meta-analysis
- Strengthening climate information institutionalization within extension services for improved climate services delivery in South Africa
- Hierarchical, Decentralized, or Hybrid? A Systematic Review of Control Architectures for Distributed Energy Resources
BibTeX
@article{vuittenez2026optimizing,
title = {{Optimizing the energy efficiency of information systems: a comparative study of data delivery architectures from Agrosyst}},
author = {Bérenger Vuittenez and Thibault Peyrard},
journal = {NOV'AE - Numéros spéciaux},
year = {2026},
month = nov,
doi = {10.20870/revue-novae.2025.9694},
url = {https://hal.inrae.fr/hal-05854590v1},
note = {CC BY-SA 4.0},
}
RIS
TY - JOUR
TI - Optimizing the energy efficiency of information systems: a comparative study of data delivery architectures from Agrosyst
AU - Bérenger Vuittenez
AU - Thibault Peyrard
PY - 2026
DA - 2026/11/06
JO - NOV'AE - Numéros spéciaux
DO - 10.20870/revue-novae.2025.9694
UR - https://hal.inrae.fr/hal-05854590v1
AB - The increase in energy consumption by data centers, which is projected to double between 2024 and 2026, and more generally the growing impact of digital technology on the climate, justify the need to consider the best technological solutions regarding their energy consumption. As part of the evolution of the methods for providing agricultural data from more than 2,000 farms and experiments in the DEPHY network, stored in the Agrosyst Information System, to researchers and data scientists, the issue of optimizing energy efficiency has emerged. Two types of data delivery architecture are being compared: a traditional architecture characterized by the systematic storage of final tables, and an architecture characterized by the creation of numerous intermediate tables and an “on-demand” generation process. The study shows that the choice between these architectures depends on the volume and specificity of the queries. Given the current usage patterns of the Agrosyst system, it seems justified to change the architecture, thereby reducing server storage and favoring the execution of certain procedures at each instance of data generation. This paradigm shift could reduce the energy consumption of the data provisioning system by at least half. We believe that the methodology used for this analysis has a broad applicability and may show potential interest for other similar situations. This work lays the foundation for systematically considering energy efficiency in future developments of the Agrosyst Information System and could support the development of a more robust and generalizable methodological framework.
SN - 2823-2283
SN - 2823-3980
ER -