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Satisfaction-based query replication - An automatic and self-adaptable approach for replicating queries in the presence of autonomous participants.

, , и . Distributed Parallel Databases, 30 (1): 1-26 (2012)

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Jorge Nestor Moreno Ruiz

Jose Miguel Ruiz

Javier Ruiz-del-Solar

Roberto Ulises Ruiz Saucedo

José-Manuel Ruiz-Marcos

 

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Scaling Up Query Allocation in the Presence of Autonomous Participants., , , и . DASFAA (2), том 6588 из Lecture Notes in Computer Science, стр. 210-224. Springer, (2011)Compliant Geo-distributed Query Processing., , и . SIGMOD Conference, стр. 181-193. ACM, (2021)A Satisfaction-Based Query Allocation Framework for Distributed Information Systems. (Allocation de Requêtes dans des Systèmes d'Information Distribués avec des Participants Autonomes).. University of Nantes, France, (2008)Imperative or Functional Control Flow Handling: Why not the Best of Both Worlds?, , , , , и . SIGMOD Rec., 51 (1): 60-67 (2022)On Irregularity Localization for Scientific Data Analysis Workflows., , , , и . ICCS (1), том 14073 из Lecture Notes in Computer Science, стр. 336-351. Springer, (2023)Cross-Platform Data Processing: Use Cases and Challenges., и . ICDE, стр. 1723-1726. IEEE Computer Society, (2018)TagSniff: Simplified Big Data Debugging for Dataflow Jobs., , , и . SoCC, стр. 453-464. ACM, (2019)Uncertainty-bounded reinforcement learning for revenue optimization in air cargo: a prescriptive learning approach., , , , , , и . Knowl. Inf. Syst., 64 (9): 2515-2541 (2022)Efficient Control Flow in Dataflow Systems: When Ease-of-Use Meets High Performance., , , , , и . ICDE, стр. 1428-1439. IEEE, (2021)DataFarm: Farm Your ML-based Query Optimizer's Food! - Human-Guided Training Data Generation -., , , , и . CIDR, www.cidrdb.org, (2022)