DeepCM: Deep neural networks to improve accuracy prediction of database cost models-Reference-Cited by-同舟云学术

DeepCM: Deep neural networks to improve accuracy prediction of database cost models

Published:2021-12-08 Issue: Volume: Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Ouared Abdelkader¹^ORCID,Chadli Abdelhafid¹,Daoud Mohamed Amine²

Affiliation:

1. Ibn Khaldoun University (UIK) Tiaret Algeria

2. Higher National School of Computer Sciences Oued Smar Algeria

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6724

Reference51 articles.

1. ManegoldS BonczP KerstenML.Generic database cost models for hierarchical memory systems. VLDB 2002:191‐202.

2. SiddiquiT JindalA QiaoS PatelH LeW.Cost models for big data query processing: Learning retrofitting and our findings. Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data; 2020:99‐113.

3. Speedup your analytics: automatic parameter tuning for databases and big data systems;Lu J;Proc VLDB Endow,2019

4. WoltmannL HartmannC HabichD LehnerW.Machine learning‐based cardinality estimation in dbms on pre‐aggregated data; 2020. arXiv preprint arXiv:2005.09367.

5. TanZ BabuS.Tempo: robust and self‐tuning resource management in multi‐tenant parallel databases; 2015. arXiv preprint arXiv:1512.00757.

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep variability modeling to enhance reproducibility of database performance testing;Cluster Computing;2024-06-02

2. Query execution time estimation in graph databases based on graph neural networks;Journal of King Saud University - Computer and Information Sciences;2024-04

3. Generating Custom Learned Cost Model for Query Optimizer of DBMS;Communications in Computer and Information Science;2024

4. GOMAD: A Goal Oriented Approach for Modeling and Analyzing Database Deployment;2023 4th International Informatics and Software Engineering Conference (IISEC);2023-12-21

5. A model-based DevOps process for development of mathematical database cost models;Automated Software Engineering;2023-07-28