1 citations · 3 across the 7 of their papers we have counts for
7 papers
ForeSight: A Predictive-Scheduling Deterministic Database
Junfang Huang, Yu Yan, Hongzhi Wang +2
Deterministic databases enable scalable replicated systems by executing transactions in a predetermined order. However, existing designs fail to capture transaction dependencies, l…
Algorithmic Complexity Attacks on All Learned Cardinality Estimators: A Data-centric Approach
Yingze Li, Xianglong Liu, Dong Wang +4
Learned cardinality estimators show promise in query cardinality prediction, yet they universally exhibit fragility to training data drifts, posing risks for real-world deployment.…
DistJoin: A Decoupled Join Cardinality Estimator based on Adaptive Neural Predicate Modulation
Kaixin Zhang, Hongzhi Wang, Ziqi Li +4
Research on learned cardinality estimation has made significant progress in recent years. However, existing methods still face distinct challenges that hinder their practical deplo…
Brame: Hierarchical Data Management Framework for Cloud-Edge-Device Collaboration
Xianglong Liu, Hongzhi Wang, Yingze Li +3
In the realm of big data, cloud-edge-device collaboration is prevalent in industrial scenarios. However, a systematic exploration of the theory and methodologies related to data ma…
CONCERTO: Complex Query Execution Mechanism-Aware Learned Cost Estimation
Kaixin Zhang, Hongzhi Wang, Kunkai Gu +4
With the growing demand for massive data analysis, many DBMSs have adopted complex underlying query execution mechanisms, including vectorized operators, parallel execution, and dy…
Updateable Data-Driven Cardinality Estimator with Bounded Q-error
Yingze Li, Xianglong Liu, Hongzhi Wang +2
Modern Cardinality Estimators struggle with data updates. This research tackles this challenge within single-table. We introduce ICE, an Index-based Cardinality Estimator, the firs…
One stone, two birds: A lightweight multidimensional learned index with cardinality support
Yingze Li, Hongzhi Wang, Xianglong Liu
Innovative learning based structures have recently been proposed to tackle index and cardinality estimation tasks, specifically learned indexes and data driven cardinality estimato…