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- short-paperJune 2024
A Demonstration of GPTuner: A GPT-Based Manual-Reading Database Tuning System
- Jiale Lao,
- Yibo Wang,
- Yufei Li,
- Jianping Wang,
- Yunjia Zhang,
- Zhiyuan Cheng,
- Wanghu Chen,
- Yuanchun Zhou,
- Mingjie Tang,
- Jianguo Wang
SIGMOD/PODS '24: Companion of the 2024 International Conference on Management of DataJune 2024, pp 504–507https://doi.org/10.1145/3626246.3654739Selecting appropriate values for the configurable knobs of Database Management Systems (DBMS) is crucial to improve performance. But because such complexity has surpassed the abilities of even the best human experts, database community turns to machine ...
- research-articleNovember 2021
Emerging applications of machine learning in modern data management
CASCON '21: Proceedings of the 31st Annual International Conference on Computer Science and Software EngineeringNovember 2021, pp 284–286In recent years, the applications of machine learning (ML) have proliferated in most aspects of traditional computer science. Data management discipline is no exception in this regard. Rule-based modules are being replaced by ML-based counterparts that ...
- research-articleMay 2020
Learning a Partitioning Advisor for Cloud Databases
SIGMOD '20: Proceedings of the 2020 ACM SIGMOD International Conference on Management of DataJune 2020, pp 143–157https://doi.org/10.1145/3318464.3389704Cloud vendors provide ready-to-use distributed DBMS solutions as a service. While the provisioning of a DBMS is usually fully automated, customers typically still have to make important design decisions which were traditionally made by the database ...
- research-articleJune 2019
An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning
- Ji Zhang,
- Yu Liu,
- Ke Zhou,
- Guoliang Li,
- Zhili Xiao,
- Bin Cheng,
- Jiashu Xing,
- Yangtao Wang,
- Tianheng Cheng,
- Li Liu,
- Minwei Ran,
- Zekang Li
SIGMOD '19: Proceedings of the 2019 International Conference on Management of DataJune 2019, pp 415–432https://doi.org/10.1145/3299869.3300085Configuration tuning is vital to optimize the performance of database management system (DBMS). It becomes more tedious and urgent for cloud databases (CDB) due to the diverse database instances and query workloads, which make the database administrator ...
- research-articleMay 2017
Automatic Database Management System Tuning Through Large-scale Machine Learning
SIGMOD '17: Proceedings of the 2017 ACM International Conference on Management of DataMay 2017, pp 1009–1024https://doi.org/10.1145/3035918.3064029Database management system (DBMS) configuration tuning is an essential aspect of any data-intensive application effort. But this is historically a difficult task because DBMSs have hundreds of configuration "knobs" that control everything in the system, ...
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- demonstrationMarch 2013
Tuning in action
EDBT '13: Proceedings of the 16th International Conference on Extending Database TechnologyMarch 2013, pp 737–740https://doi.org/10.1145/2452376.2452468Imagine that your database has all the right indexes. Its buffer manager has been tuned to give a high hit ratio, the buffer fits in RAM, and the data is well distributed on disk. You're done, right? Well, no, because the application code might be ...
- research-articleMarch 2013
AppSleuth: a tool for database tuning at the application level
EDBT '13: Proceedings of the 16th International Conference on Extending Database TechnologyMarch 2013, pp 589–600https://doi.org/10.1145/2452376.2452445Excellent work ([1]-[6]) has shown that memory management and transaction concurrency levels can often be tuned automatically by the database management systems. Other excellent work ([7]]-[14]) has shown how to use the optimizer to do automatic ...
- ArticleSeptember 2011
Automatic physical database tuning middleware for web-based applications
ADBIS'11: Proceedings of the 15th international conference on Advances in databases and information systemsSeptember 2011, pp 361–374In this paper we conceptualize the database layout problem as a state space search problem. A state is a given assignment of tables to computer servers. We begin with a database and collect, for use as a workload input, a sequence of queries that were ...
- ArticleNovember 2009
Policy-Based Coordination of Best-Practice Oriented Autonomic Database Tuning
COMPUTATIONWORLD '09: Proceedings of the 2009 Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, PatternsNovember 2009, pp 55–60https://doi.org/10.1109/ComputationWorld.2009.27In the last decades databases have been growing rapidly in scale and complexity. High performance, availability and further service level agreements need to be satisfied under any circumstances to please customers. Achieved database management system’s (...