Image de couverture de livre

Optimization Strategies for Parallel Computation of Skylines

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ciaccia, Paolo, Martinenghi, Davide
Format:	Preprint
Publié:	2024
Sujets:	Databases
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Partitioning Strategies for Parallel Computation of Flexible Skylines
par: De Lorenzis, Emilio, et autres
Publié: (2025)

Computing the Non-Dominated Flexible Skyline in Vertically Distributed Datasets with No Random Access
par: Martinenghi, Davide
Publié: (2024)

Preference Queries over Taxonomic Domains
par: Ciaccia, Paolo, et autres
Publié: (2025)

Parallelizing the Computation of Robustness for Measuring the Strength of Tuples
par: Martinenghi, Davide
Publié: (2024)

Simplified integrity checking for an expressive class of denial constraints
par: Martinenghi, Davide
Publié: (2024)

Towards a visually interpretable analysis of Two-Phase Locking membership
par: Martinenghi, Davide
Publié: (2025)

Don't go gaga with GIGO
par: Decker, Hendrik, et autres
Publié: (2024)

Keyword Search in the Deep Web
par: Calì, Andrea, et autres
Publié: (2025)

Ranking Methods for Skyline Queries
par: Martin-Nevot, Mickaël, et autres
Publié: (2025)

Interpreting Graph Inference with Skyline Explanations
par: Qiu, Dazhuo, et autres
Publié: (2025)

PG-Triggers: Triggers for Property Graphs
par: Ceri, Stefano, et autres
Publié: (2023)

Skyline Operators for Document Spanners
par: Amarilli, Antoine, et autres
Publié: (2023)

Generating Skyline Datasets for Data Science Models
par: Wang, Mengying, et autres
Publié: (2025)

Causal Search for Skylines (CSS): Causally-Informed Selective Data De-Correlation
par: Mandal, Pratanu, et autres
Publié: (2026)

Classement d'objets Skylines dans les bases de donn{é}es
par: Martin-Nevot, Mickaël, et autres
Publié: (2024)

Skyline Queries in SPARQL: An Overview
par: Marlene Goncalves Da Silva
Publié: (2022)

Using Process Calculus for Optimizing Data and Computation Sharing in Complex Stateful Parallel Computations
par: Tian, Zilu, et autres
Publié: (2025)

Distributed Continuous Range-Skyline Query Monitoring over the Internet of Mobile Things
par: Lai, Chuan-Chi, et autres
Publié: (2019)

Distributed Indexing Schemes for k-Dominant Skyline Analytics on Uncertain Edge-IoT Data
par: Lai, Chuan-Chi, et autres
Publié: (2023)

Self-Adaptive Probabilistic Skyline Query Processing in Distributed Edge Computing via Deep Reinforcement Learning
par: Lai, Chuan-Chi
Publié: (2026)

Is Quantum Computing Ready for Real-Time Database Optimization?
par: Liu, Hanwen, et autres
Publié: (2026)

Parallel Query Processing with Heterogeneous Machines
par: Frisk, Simon, et autres
Publié: (2025)

Learned Query Optimizer in Alibaba MaxCompute: Challenges, Analysis, and Solutions
par: Weng, Lianggui, et autres
Publié: (2026)

K-Join: Combining Vertex Covers for Parallel Joins
par: Frisk, Simon, et autres
Publié: (2026)

CStream: Parallel Data Stream Compression on Multicore Edge Devices
par: Zeng, Xianzhi, et autres
Publié: (2023)

Global Hash Tables Strike Back! An Analysis of Parallel GROUP BY Aggregation
par: Xue, Daniel, et autres
Publié: (2025)

HoneyComb: A Parallel Worst-Case Optimal Join on Multicores
par: Wu, Jiacheng, et autres
Publié: (2025)

Towards a Hybrid Quantum-Classical Computing Framework for Database Optimization Problems in Real Time Setup
par: Liu, Hanwen, et autres
Publié: (2026)

Nova: Scalable Streaming Join Placement and Parallelization in Resource-Constrained Geo-Distributed Environments
par: Chatziliadis, Xenofon, et autres
Publié: (2026)

Robust Recursive Query Parallelism in Graph Database Management Systems
par: Chakraborty, Anurag, et autres
Publié: (2025)

Dupin: A Parallel Framework for Densest Subgraph Discovery in Fraud Detection on Massive Graphs (Technical Report)
par: Jiang, Jiaxin, et autres
Publié: (2025)

Parallel Dynamic Spatial Indexes
par: Men, Ziyang, et autres
Publié: (2026)

Improving Automatic Parallel Training via Balanced Memory Workload Optimization
par: Wang, Yujie, et autres
Publié: (2023)

Machine Learning-Augmented Ontology-Based Data Access for Renewable Energy Data
par: Calautti, Marco, et autres
Publié: (2024)

Balanced Partitioning for Optimizing Big Graph Computation: Complexities and Approximation Algorithms
par: Ning, Baoling, et autres
Publié: (2024)

Left-Deep Join Order Selection with Higher-Order Unconstrained Binary Optimization on Quantum Computers
par: Uotila, Valter
Publié: (2025)

Quantum Computing for Databases: Overview and Challenges
par: Yuan, Gongsheng, et autres
Publié: (2024)

Kishu: Time-Traveling for Computational Notebooks
par: Li, Zhaoheng, et autres
Publié: (2024)

The Stretto Execution Engine for LLM-Augmented Data Systems
par: Sanmartino, Gabriele, et autres
Publié: (2026)

Accelerating K-Core Computation in Temporal Graphs
par: Ma, Zhuo, et autres
Publié: (2025)