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Utilisation des contraintes (m, k)-firm pour la gestion de la QdS dans les SGBD temps réel., and . INFORSID, page 95-110. (2011)A new QoS Management Approach in real-time GIS with heterogeneous real-time geospatial data using a feedback control scheduling., , and . IDEAS, page 174-179. ACM, (2015)Traitement de signal et modélisation pour l'analyse de la fragmentation du sommeil. (Signal processing and modeling for sleep fragmentation analysis).. University of the South, Toulon-Var, France, (2019)Semantics-Based Scheduling Approach of Ontology-Based Real-Time DBMS., , and . SoMeT, volume 337 of Frontiers in Artificial Intelligence and Applications, page 553-566. IOS Press, (2021)A Speculative Concurrency Control in Real-Time Spatial Big Data Using Real-Time Nested Spatial Transactions and Imprecise Computation., , and . AICCSA, page 534-540. IEEE Computer Society, (2017)Multi-Versions Data for Improvement of QoS in RTDBS., , and . RTCSA, page 293-296. IEEE Computer Society, (2005)Real-Time Data Stream Partitioning over a Sliding Window in Real-Time Spatial Big Data., , and . ICA3PP (1), volume 11334 of Lecture Notes in Computer Science, page 75-88. Springer, (2018)Applicability of the (m, k)-firm Approach for the QoS Enhancement in Distributed RTDBMS., , , , and . ICA3PP (1), volume 8285 of Lecture Notes in Computer Science, page 166-175. Springer, (2013)Management of the real-time derived data in a Distributed Real-Time DBMS using the semi-total replication data., , , and . AICCSA, page 1-4. IEEE Computer Society, (2013)An Ontological Approach to Design Real-time Applications., , , and . J. Data Semant., 5 (3): 195-209 (2016)