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20202025
most citedIndex Selection for NoSQL Database with Deep Reinforcement Learning

1 citations · 1 across the 4 of their papers we have counts for

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cs.DB2025

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…

cs.DB2025

SAM: A Stability-Aware Cache Manager for Multi-Tenant Embedded Databases

Haoran Zhang, Decheng Zuo, Yu Yan +2

The co-location of multiple database instances on resource constrained edge nodes creates significant cache contention, where traditional schemes are inefficient and unstable under…

cs.DB2025

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…

cs.DB2024

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…

cs.DB2020

Multi-SQL: An extensible multi-model data query language

Yu Yan, Nan Jiang, Hongzhi Wang +3

Big data management aims to establish data hubs that support data in multiple models and types in an all-around way. Thus, the multi-model database system is a promising architectu…

cs.DB20201 cited

Index Selection for NoSQL Database with Deep Reinforcement Learning

Shun Yao, Hongzhi Wang, Yu Yan

We propose a new approach of NoSQL database index selection. For different workloads, we select different indexes and their different parameters to optimize the database performanc…