Self-tuning Database Systems: A Systematic Literature Review of Automatic Database Schema Design and Tuning
Self-tuning is a feature of autonomic databases that includes the problem of automatic
schema design. It aims at providing an optimized schema that increases the overall …
schema design. It aims at providing an optimized schema that increases the overall …
Automatic Database Index Tuning: A Survey
Index tuning plays a crucial role in facilitating the efficiency of data retrieval within database
systems, which adjusts index settings to optimize the database performance. Recently, with …
systems, which adjusts index settings to optimize the database performance. Recently, with …
SmartIX: A database indexing agent based on reinforcement learning
G Paludo Licks, J Colleoni Couto, P de Fátima Miehe… - Applied …, 2020 - Springer
Configuring databases for efficient querying is a complex task, often carried out by a
database administrator. Solving the problem of building indexes that truly optimize database …
database administrator. Solving the problem of building indexes that truly optimize database …
Efficient and Economical Allocation of Irrigation Water under a Changing Environment: a Stochastic Multi‐Objective Nonlinear Programming Model
Water scarcity causes conflicts between natural resources and socio‐economic
development which reinforces the need for optimal allocation of irrigation water resources …
development which reinforces the need for optimal allocation of irrigation water resources …
The next 50 years in database indexing or: the case for automatically generated index structures
J Dittrich, J Nix, C Schön - Proceedings of the VLDB Endowment, 2021 - dl.acm.org
Index structures are a building block of query processing and computer science in general.
Since the dawn of computer technology there have been index structures. And since then, a …
Since the dawn of computer technology there have been index structures. And since then, a …
Indexer++ workload-aware online index tuning with transformers and reinforcement learning
With the increasing workload complexity in modern databases, the manual process of index
selection is a challenging task. There is a growing need for a database with an ability to …
selection is a challenging task. There is a growing need for a database with an ability to …
Optimal Index Selection Using Optimized Deep Q-Learning Algorithm for NoSQL Database
V Sumalatha, S Pabboju - SN Computer Science, 2024 - Springer
The resource requirements for managing the data for sophisticated applications have
increased as big data technology has advanced. NoSQL (MongoDB) databases are being …
increased as big data technology has advanced. NoSQL (MongoDB) databases are being …
Intelligent Indexing—Boosting Performance in Database Applications by Recognizing Index Patterns
An issue that most databases face is the static and manual character of indexing operations.
This old-fashioned way of indexing database objects is proven to affect the database …
This old-fashioned way of indexing database objects is proven to affect the database …
Automated database indexing using model-free reinforcement learning
GP Licks, F Meneguzzi - arXiv preprint arXiv:2007.14244, 2020 - arxiv.org
Configuring databases for efficient querying is a complex task, often carried out by a
database administrator. Solving the problem of building indexes that truly optimize database …
database administrator. Solving the problem of building indexes that truly optimize database …
There is No Such Thing as an" Index"! or: The next 500 Indexing Papers
J Dittrich, J Nix, C Schön - arXiv preprint arXiv:2009.10669, 2020 - arxiv.org
Index structures are a building block of query processing and computer science in general.
Since the dawn of computer technology there have been index structures. And since then, a …
Since the dawn of computer technology there have been index structures. And since then, a …