In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) will be discontinued after Dec. 31st, 2024.
Software Technology Research
|
1789-1793

MIRA:database multi-attribute index recommendation based on reinforcement learning

Yu Wenboa
You Jinguoa,b
Niu Xiangyua
a. Faculty of Information Engineering & Automation, b. Key Laboratory of Artificial Intelligence in Yunnan Province, Kunming University of Science & Technology, Kunming 650500, China

Abstract

Traditional relational databases use the artificial way to achieve index recommendations that can no longer meet the growing requirement of data, and using machine learning technology can effectively solve the index optimization problem of databases. The limitation that only recommended the index in a static database and couldn't update the index configuration in time, this paper proposed a multi-attribute index intelligent recommendation approach(MIRA) to recommend multi-attri-bute index configurations for a set of workloads using reinforcement learning under databases with dynamically changing data. Experimental results on TPC-H datasets show that MIRA can effectively recommend the optimal index configuration for workload, and outperforms the defined comparison baselines and related reinforcement learning methods.

Foundation Support

国家自然科学基金项目(62062046)
CCF信息系统开放项目(HZ2021F0055A)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.11.0536
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 6
Section: Software Technology Research
Pages: 1789-1793
Serial Number: 1001-3695(2023)06-030-1789-05

Publish History

[2023-01-05] Accepted Paper
[2023-06-05] Printed Article

Cite This Article

虞文波, 游进国, 牛祥虞. 基于强化学习的数据库多属性索引推荐 [J]. 计算机应用研究, 2023, 40 (6): 1789-1793. (Yu Wenbo, You Jinguo, Niu Xiangyu. MIRA:database multi-attribute index recommendation based on reinforcement learning [J]. Application Research of Computers, 2023, 40 (6): 1789-1793. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)