Query Performance Prediction for Concurrent Queries using Graph Embedding
Summary: First graph-embedding-based model for concurrent query performance prediction. Queries mapped to a plan graph; edges encode lock conflicts and buffering correlations; graph embeddings + predictor forecast runtime; dynamic workloads handled via graph update/compaction; real-world tests beat state-of-the-art. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xuanhe Zhou (Tsinghua University)
- 2. Ji Sun (Tsinghua University)
- 3. Guoliang Li (Tsinghua University)
- 4. Jianhua Feng (Tsinghua University)
BibTeX Citation
@article{zhou_vldb20,
title = {{Query Performance Prediction for Concurrent Queries using Graph Embedding}},
author = {Zhou, Xuanhe and Sun, Ji and Li, Guoliang and Feng, Jianhua},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {9},
pages = {1416--1428},
doi = {10.14778/3397230.3397238},
url = {https://doi.org/10.14778/3397230.3397238},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 35 of 35 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 10,969 | Improving DBMS Scheduling Decisions with Accurate Performance Prediction on Concurrent Queries | 2025 | VLDB |
| 2 | 1,573 | Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries | 2020 | SIGMOD |
| 3 | 11,361 | Predicting Query Execution time for JIT Compiled Database Engines | 2023 | CIDR |
| 4 | 5,132 | Facilitating SQL Query Composition and Analysis | 2020 | SIGMOD |
| 5 | 11,067 | Machine Learning for Graph Data Management and Query Processing | 2025 | VLDB |
| 6 | 11,083 | Graph Transformers for Query Plan Representation: Potentials and Challenges | 2025 | VLDB |
| 7 | 5,073 | Database Workload Characterization with Query Plan Encoders | 2022 | VLDB |
| 8 | 624 | Performance Prediction for Concurrent Database Workloads | 2011 | SIGMOD |
| 9 | 3,482 | Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads | 2013 | VLDB |
| 10 | 563 | Plan-Structured Deep Neural Network Models for Query Performance Prediction | 2019 | VLDB |