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Academic literature on the topic 'Pré-déploiement'
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Journal articles on the topic "Pré-déploiement"
Hertzog, Marion, and Marc Bollecker. "La pré-appropriation capacitante d’un outil de contrôle de la qualité : le cas d’une accréditation à l’université." Gestion et management public Vol. 12, no. 2 (June 4, 2024): 95–114. http://dx.doi.org/10.3917/gmp.122.0095.
Full textCarillon, Séverine, and Gabriel Girard. "Mieux comprendre les défis de la médicalisation de la prévention du VIH en France : la prophylaxie préexposition au prisme des sciences sociales." Global Health Promotion 27, no. 2 (June 24, 2019): 149–53. http://dx.doi.org/10.1177/1757975919843060.
Full textMathonnat, Christine. "Le sexuel dans la déficience mentale : mythes et fantasmes des origines." Cliniques méditerranéennes 110, no. 2 (September 25, 2024): 209–21. http://dx.doi.org/10.3917/cm.110.0209.
Full textBERGER, Christine, Laëtitia CLAVEL, Barbara DUCREUX, and Valérie DAVID. "Analyse d'impact ex post de trente ans de recherche et développement sur les conditions de pré-abattage des ruminants." INRAE Productions Animales 37, no. 1 (April 26, 2024): 7471. http://dx.doi.org/10.20870/productions-animales.2024.37.1.7471.
Full textGirard, Sophie, Catherine Stamm, Karine Verne, Christine Pivot, and Carole Paillet. "Introduction de la morphine pré-diluée dans un établissement de santé :." Risques & qualité en milieu de soins Vol. XIX, no. 3 (October 13, 2023): 163–69. https://doi.org/10.3917/rqms.103.0163.
Full textBocquier, Aurélie, Clélia M. Bianchi, Chloé Cogordan, Hélène Tréhard, Mélissa Badiou, Dolorès Nadal, Julie Dessirier, et al. "Recrutement actif de seniors socio-économiquement défavorisés pour des ateliers de prévention : la procédure INVITE." Santé Publique 37, no. 1 (March 11, 2025): 89–99. https://doi.org/10.3917/spub.251.0089.
Full textHallée, Yves, and Gabrielle Plamondon. "Les organisations en soutien aux démarches de (ré)insertion socioprofessionnelle des personnes en situation d’itinérance : de nouveaux acteurs en relations industrielles au Québec ?" Articles 73, no. 2 (June 18, 2018): 343–68. http://dx.doi.org/10.7202/1048574ar.
Full textCissé, Chikouna. "Entre descriptions (pré)coloniales et descriptions de soi." À propos, no. 1 (January 20, 2025). https://doi.org/10.57086/apropos.100.
Full textLevy, Joseph. "Globalisation communicationnelle." Anthropen, 2018. http://dx.doi.org/10.17184/eac.anthropen.068.
Full textDissertations / Theses on the topic "Pré-déploiement"
Fournier, Ismaël. "La préparation pré-déploiement de l'infanterie canadienne avant le débarquement allié en Sicile : doctrine et entraînement des armées canadiennes et allemandes 1919-1944." Master's thesis, Université Laval, 2015. http://hdl.handle.net/20.500.11794/26015.
Full textAwad, Hiba. "Quality of service assurance before deployment of fog systems with model-based engineering and DevOps." Electronic Thesis or Diss., Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2025. http://www.theses.fr/2025IMTA0468.
Full textFog Computing decentralizes the Cloud by bringing computation, storage, and network services closer to the edge. This reduces latency and bandwidth usage while improving real-time processing. However, the complexity and heterogeneity of Fog systems, often comprising diverse entities, make lifecycle management challenging and costly. Runtime error handling frequently requires revisiting earlier phases, which is both timeconsuming and expensive. Ensuring reliability through pre-deployment verification is therefore essential. Fog systems are deployed in domains such as healthcare, automotive, and smart cities, further complicating verification and deployment processes. To address these challenges, we propose a generic and customizable approach based on a two-step verification process. This approach focuses on the design-time and pre-deployment phases, automating key verification and deployment activities. Our solution features a customizable Fog modeling language, design-time verification of non-functional properties (e.g., security, energy), preparation of pre-deployment configurations, and integration with industrial DevOps tools and Quality of Service (QoS) solutions. By combining Model-Based Engineering and DevOps practices, our approach ensures QoS, reduces deployment costs, and enhances automation to tackle the complexity of Fog systems. We validated this approach using three literature-based use cases—smart campus, smart parking, and smart hospital. Results demonstrate its effectiveness in QoS verification, deployment automation, and reducing complexity and costs, highlighting its relevance to state-of-the-art engineering and DevOps practices