RagARenn
Since March 2024, the University of Rennes has launched an experimentation with generative AI called “RAGaRenn”, with the goal of co-constructing a framework for the use of this technology with all of the university’s staff. Our team LOGICA has been at the core of the technical design and implementation of the infrastructure supporting this initiative. We have also supported its deployment on the trusted local infrastructure Eskemm Data, the university’s datacenter in Brittany dedicated to the ESR. The aim is to precisely dimension the necessary resources, estimate its direct carbon impact, and better understand the specific and relevant uses in a professional context.
The experimentation is still ongoing at https://ragarenn.eskemm-numerique.fr/ and has gained national visibility. Following its successful presentation in summer 2024, the project now has two main objectives. First, upgrading the infrastructure to allow the University’s IT services (DSI) to take over its support. Second, pooling usage around generative AI and avoid the under-utilization of digital infrastructures, particularly servers. This is the goal of the Ilaas project, a new federation of higher education institutions (University of Lille, Reims Champagne Ardennes, Paris-I Panthéon-Sorbonne, Rennes, and CentraleSupélec) aiming to move towards more digital sobriety. RagARenn was one of the starting point for the creation of the Ilaas project. This project received funding from the DGRI (Direction Générale de la Recherche et de l’Innovation).
PEPR Numpex – project Exa-AToW
Supercomputers are becoming an essential part of a growing scientific data environment that stretches from small devices to high-powered computing (HPC) systems.
The Exa-AToW project is designed to streamline the management of complex processes that include high-performance data analysis (HPDA), artificial intelligence (AI), and supercomputing tasks. These tasks span a wide range of resources, from the very large Exascale computing systems to other computing and data platforms.
Exa-AToW aims to provide comprehensive solutions for handling these large-scale operations efficiently. It looks at the entire process, from the flow of tasks and management of data to the coordination of resources, ensuring security, optimizing energy use, and promoting sustainability.
The project tackles several key challenges:
- Integrating Exascale systems into the scientific data environment.
- Maintaining security across diverse and large-scale technologies.
- Adjusting the allocation of distributed resources to manage variations in power costs effectively.
To meet its goals, Exa-AToW is creating a data-driven, service-oriented framework. This setup combines various technologies under a unified management and security strategy, with a focus on optimizing performance, energy use, and sustainability.
Breizh Decarbonated Mobility
Transportation is a major source of greenhouse gas emissions. Optimizing transport and promoting sustainable mobility can help reduce these emissions. This requires understanding the decision-making patterns of users regarding modes of transport, through the collection of personal and contextual data.
The BMDec project focuses on urban and peri-urban home-to-work mobility. It is a multidisciplinary initiative bringing together the SETUR consultancy, the LOGICA research team from IRISA, CREM, UrbanThink, and RatpDev. The project is funded by the Brittany Region and is part of the activities of the Chair of Mobility in a Sustainable City of the Rennes 1 Foundation. The project aims to analyze user behavior to encourage a reduction in greenhouse gas emissions and to integrate these behaviors into decision-support tools. Thus, the BMDec project relies on the creation of a panel of users who are questioned daily about their modes of transportation.
The project consists of two main components. The first involves the collection and analysis of data related to user behavior. The second aims to design a decision-support system based on machine learning (ML) to generate a model of user behavior.
More at https://project.inria.fr/bmdec/fr/
Rennes Urban Data Interface (RUDI)
RUDI is proposing an original approach for aligning technical architecture with governance principles. The articulation of both dimensions is especially important when the considered data perimeter includes open data, sensitive data and personal data. Indeed, the technical architecture may or may not allow to implement the governance induced protocols, data protection, responsibilities tracking, data management, etc.
The main contribution of the Logica’s team to RUDI is the producer node. The RUDI Producer Node groups all the modules required for the deployment of fully managable RUDI producer Nodes as defined in RUDI Open-Data project. The purpose of a RUDI producer node is to provide the technology able to store and manage the metadata and data (media) of the datasets owned by a particular contributor in the open-data RUDI federation. This software was designed with the following principles:
- It proposes a reference implementation of the standard RUDI API https://app.swaggerhub.com/apis/OlivierMartineau/RUDI-PRODUCER.
- It is able to publish the metadata of datasets to the main Rennes-Métropole RUDI platform (https://rudi.rennesmetropole.fr)
- It is completely independent, and can be used as a standalone OpenData platform.
- It is modular and relies and a set of micro-services that have been containerized as a Docker image. A RUDI node can be installed and used with minimum technical knowledge https://github.com/rudi-platform/rudi-node-container/pkgs/container/rudinode.
- Its is only based on free and open-source technologies and released under the European open-source license (EUPL v1.2) https://github.com/rudi-platform/rudi-node-catalog.
RUDI is still active and in a deployment phase.
More at https://rudi.rennesmetropole.fr
City Orchestra
The climate emergency and the need to ensure a socially just ecological transition of our territories have placed greater expectations on the effectiveness of public policies and their intervention mechanisms, on the reliability of the tools and data needed to track territorial trajectories and anticipate future developments, on the guarantee of easy access to multi-source, up-to-date and reliable data.
Building on a trajectory during which they have developed a palette of tools and competencies for data management in support of public policies, Rennes Métropole and its partners propose to lead a territorial project, City Orchestra, based on four pillars and bringing together Breton collectivities (Region Brittany, Brest Métropole, Ille-etVilaine Departmental Council, Côtes d’Armor Departmental Energy Syndicate) and
local data actors (expert companies, research laboratories and GIPs) around a shared project in support of ecological transition.
In this project, Logistica is involved in the Orchestration workpackage and Air Quality Use-Case regarding the data logistics aspects.
Efril: Negative Tourism Impact Study
This work explores the interest in combining participatory science and digital tools to measure and sustainably manage tourist tensions. Applied to the commune of SaintArmel (56), this approach aims to address resident annoyance towards tourism by coconstructing solutions with local inhabitants.
This study uses the BMDec platform to collect the information. It is performed in collaboration with the LEGO lab, University of South Brittany (https://www.labo-lego.fr/).
More details are available here: https://project.inria.fr/efril56/.