Database Cracking
By Stratos Idreos, Martin Leopold Kersten, Stefan Manegold. Conference on Innovative Data Systems Research, 2007
368 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/8605efd48eab192b78f1f666ffd7fba6744494e1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Abraham Bernstein
- Jiashu Xing
- Minwei Ran
- Zhili Xiao
- Zekang Li
- Panagiotis Karras
- Bin Cheng
- Yangtao Wang
Citations in the corpus
- An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning (2019, methodology): “Techniques for tuning specific classes of parameters include memory managements and identifying performance bottlenecks [19, 21, 39].”
- Self-Tuning Database Systems: A Decade of Progress (2007, unknown): “, partial indexes/materialized views [48], database “cracking” [45][46].”
- Hexastore: sextuple indexing for semantic web data management (2008, methodology): “Database cracking has been suggested as a method to address index maintenance as part of query processing using continuous physical reorganization [32, 30, 29].”