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Academic literature on the topic 'Allocation des données réparties'
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Journal articles on the topic "Allocation des données réparties"
Piton, Jean-Pierre. "Une experience de numerisation de dossiers d’artistes a la documentation du MNAM-CCI." Art Libraries Journal 25, no. 1 (2000): 15–16. http://dx.doi.org/10.1017/s030747220001138x.
Full textBouchard, Diana C. "L’autocorrélation spatiale et les données de santé : une étude préliminaire." Cahiers de géographie du Québec 20, no. 51 (April 12, 2005): 521–38. http://dx.doi.org/10.7202/021333ar.
Full textTindano, Elycée, Souleymane Ganaba, Oumarou Sambare, and Adjima Thiombiano. "LA VÉGÉTATION DES INSELBERGS DU SAHEL BURKINABÈ." BOIS & FORETS DES TROPIQUES 325, no. 325 (July 17, 2015): 21. http://dx.doi.org/10.19182/bft2015.325.a31270.
Full textNgijol Baleng, Roland Dalex, Elvis Mouyakan A. Moumbock, and Mbezele Junior Yannick Ngaba. "Contribution à l’élaboration d’un plan simple de gestion d’une forêt communautaire : Cas de l’inventaire d’aménagement de la forêt d’Alati (Sud- Cameroun)." Journal of the Cameroon Academy of Sciences 16, no. 1 (October 13, 2020): 53–69. http://dx.doi.org/10.4314/jcas.v16i1.5.
Full textDe Lafontaine, Guillaume. "Protocole de suivi des populations d'aster du Saint-Laurent, Symphyotrichum laurentianum, aux Îles-de-la-Madeleine." Canadian Field-Naturalist 119, no. 4 (October 1, 2005): 556. http://dx.doi.org/10.22621/cfn.v119i4.188.
Full textBAERT, Quentin, Anne-Cécile CARON, Maxime MORGE, and Jean-Christophe ROUTIER. "Allocation équitable de tâches pour l’analyse de données massives." Revue d'intelligence artificielle 31, no. 4 (August 28, 2017): 401–26. http://dx.doi.org/10.3166/ria.31.401-426.
Full textChopart, Sophie, and Éric Sauquet. "Usage des jaugeages volants en régionalisation des débits d’étiage." Revue des sciences de l'eau 21, no. 3 (September 10, 2008): 267–81. http://dx.doi.org/10.7202/018775ar.
Full textTouazi, M., and J. P. Laborde. "Modélisation pluie-débit à l’échelle annuelle en Algérie du nord." Revue des sciences de l'eau 17, no. 4 (April 12, 2005): 503–16. http://dx.doi.org/10.7202/705546ar.
Full textDubois, Sylvie, and Carole Salmon. "Étude diachronique du /ɔ/ devant R et L en français cadien dans le parler de quatre générations de femmes cadiennes." Revue de l'Université de Moncton 37, no. 2 (June 1, 2007): 193–206. http://dx.doi.org/10.7202/015846ar.
Full textMcGregor, Margaret J., Riyad B. Abu-Laban, Lisa A. Ronald, Kimberlyn M. McGrail, Douglas Andrusiek, Jennifer Baumbusch, Michelle B. Cox, Kia Salomons, Michael Schulzer, and Lisa Kuramoto. "Nursing Home Characteristics Associated with Resident Transfers to Emergency Departments." Canadian Journal on Aging / La Revue canadienne du vieillissement 33, no. 1 (January 3, 2014): 38–48. http://dx.doi.org/10.1017/s0714980813000615.
Full textDissertations / Theses on the topic "Allocation des données réparties"
Quiané-Ruiz, Jorge-Alnulfo. "Allocation de requêtes dans des systèmes d'information distribués avec des participants autonomes." Nantes, 2008. https://tel.archives-ouvertes.fr/tel-00464475.
Full textIn large-scale distributed information systems, where participants (consumers and providers) are autonomous and have special interests for some queries, query allocation is a challenge. Much work in this context has focused on distributing queries among providers in a way that maximizes overall performance (typically throughput and response time). However, participants usually have certain expectations with respect to the mediator, which are not only performance-related. Such expectations mainly reflect their interests to allocate and perform queries, e. G. Their interests towards: providers (based on reputation for example), quality of service, topics of interests, and relationships with other participants. In this context, because of participants’ autonomy, dissatisfaction is a problem since it may lead participants to leave the mediator. Participant’s satisfaction means that the query allocation method meets its expectations. Thus, besides balancing query load, preserving the participants’ interests so that they are satisfied is also important. In this thesis, we address the query allocation problem in these environments and make the following main contributions. First, we provide a model to characterize the participants’ perception of the system regarding their interests and propose measures to evaluate the quality of query allocation methods. Second, we propose a framework for query allocation, called SbQA, that dynamically trades consumers’ interests for providers’ interests based on their satisfaction. Third, we propose an query allocation approach, called SbQA, that allows a query allocation method (specifically SbQA) to scale up in terms of the numbers of mediators, participants, and hence of performed queries. Fourth, we propose a query replication method, called SbQR, that allows to support participants’ failures when allocating queries while preserving participants’ satisfaction and good system performance. Last, but not least, we analytically and experimentally validate our proposals and demonstrate that they yield high efficiency while satisfying participants
Robert, de Saint Victor Isabelle. "Système déductif dans le contexte de données réparties." Lyon 1, 1988. http://www.theses.fr/1988LYO10084.
Full textVargas-Solar, Genoveva. "Service d'évènements flexible pour l'intégration d'applications bases de données réparties." Université Joseph Fourier (Grenoble ; 1971-2015), 2000. http://www.theses.fr/2000GRE10259.
Full textSarr, Idrissa. "Routage des transactions dans les bases de données à large échelle." Paris 6, 2010. http://www.theses.fr/2010PA066330.
Full textDahan, Sylvain. "Mécanismes de recherche de services extensibles pour les environnements de grilles de calcul." Besançon, 2005. http://www.theses.fr/2005BESA2063.
Full textThe aim of Grid computing is to share computing resources. Users should find efficiently the resources that they need. To do it, we propose to connect the resources with an overlay network and to use a flooding search algorithm. Overlay networks are usually formed with a graph or a tree. Trees use an optimal number of messages but suffer of bottlenecks which reduce the number of simultaneous search that can be done. Graphs use more messages but support an higher number of simultaneous searches. We propose a new topology which uses an optimal number of messages like trees and does not have any bottleneck like graphs. If every node of a tree is a computer, some computers are leaves which receive messages and the others are intermediate nodes which forward messages. We distribute the intermediate nodes role between every server in a way where every server have the same roles. This new tree structure is build recursively: every server is a leaf and intermediate nodes are complete graphs of their children. We show that such kind of tree can be build and that it is possible to run tree traversal on it. We also show that the load is fairly shared between the servers. As a result, this structure has better performances than the tree and the graph in search speed term and in load term
Ravat, Franck. "Od3 : contribution méthodologique à la conception de bases de données orientées objet réparties." Toulouse 3, 1996. http://www.theses.fr/1996TOU30150.
Full textLumineau, Nicolas. "Organisation et localisation de données hétérogènes et réparties sur un réseau Pair-à-Pair." Paris 6, 2005. http://www.theses.fr/2005PA066436.
Full textMeynard, Michel. "Contrôle de la cohérence des bases de données réparties et dupliquées, sujettes aux partitionnements." Montpellier 2, 1990. http://www.theses.fr/1990MON20022.
Full textDriouche, Mohamed. "Un système de gestion de base de données réparties dans un environnement temps réel." Paris 6, 1989. http://www.theses.fr/1989PA066730.
Full textOğuz, Damla. "Méthodes d'optimisation pour le traitement de requêtes réparties à grande échelle sur des données liées." Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30067/document.
Full textLinked Data is a term to define a set of best practices for publishing and interlinking structured data on the Web. As the number of data providers of Linked Data increases, the Web becomes a huge global data space. Query federation is one of the approaches for efficiently querying this distributed data space. It is employed via a federated query engine which aims to minimize the response time and the completion time. Response time is the time to generate the first result tuple, whereas completion time refers to the time to provide all result tuples. There are three basic steps in a federated query engine which are data source selection, query optimization, and query execution. This thesis contributes to the subject of query optimization for query federation. Most of the studies focus on static query optimization which generates the query plans before the execution and needs statistics. However, the environment of Linked Data has several difficulties such as unpredictable data arrival rates and unreliable statistics. As a consequence, static query optimization can cause inefficient execution plans. These constraints show that adaptive query optimization should be used for federated query processing on Linked Data. In this thesis, we first propose an adaptive join operator which aims to minimize the response time and the completion time for federated queries over SPARQL endpoints. Second, we extend the first proposal to further reduce the completion time. Both proposals can change the join method and the join order during the execution by using adaptive query optimization. The proposed operators can handle different data arrival rates of relations and the lack of statistics about them. The performance evaluation of this thesis shows the efficiency of the proposed adaptive operators. They provide faster completion times and almost the same response times, compared to symmetric hash join. Compared to bind join, the proposed operators perform substantially better with respect to the response time and can also provide faster completion times. In addition, the second proposed operator provides considerably faster response time than bind-bloom join and can improve the completion time as well. The second proposal also provides faster completion times than the first proposal in all conditions. In conclusion, the proposed adaptive join operators provide the best trade-off between the response time and the completion time. Even though our main objective is to manage different data arrival rates of relations, the performance evaluation reveals that they are successful in both fixed and different data arrival rates
Books on the topic "Allocation des données réparties"
Gardarin, Georges. SGBD avancés: Bases de données, objets, déductives, réparties. Paris: Eyrolles, 1990.
Find full textTeorey, Toby J. Database modeling & design. 3rd ed. San Francisco: Morgan Kaufmann, 1999.
Find full textSam, Lightstone, and Nadeau Tom, eds. Database modeling & design: Logical design. 4th ed. Amsterdam: Elsevier, 2006.
Find full textDatabase modeling and design: The entity-relationship approach. San Mateo, Calif: Morgan Kaufman Publishers, 1990.
Find full textDatabase modeling & design: The fundamental principles. 2nd ed. San Francisco, Calif: Morgan Kaufmann Publishers, 1994.
Find full text(Editor), Mark Last, Abraham Kandel (Editor), and Horst Bunke (Editor), eds. Data Mining In Time Series Databases (Series in Machine Perception and Artificial Intelligence). World Scientific Pub Co Inc, 2004.
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