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.
See More
Software Technology Research
|
App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 6
1784-1788

Research on distributed online integrated learning framework based on Flink

Cao Zhangyu
Zhong Yuan
Zhou Jing
School of Computer Science, Southwest Petroleum University, Chengdu 610500, China
DOI: 10.19734/j.issn.1001-3695.2022.09.0535

Abstract

In the environment of big data, traditional machine learning algorithms mostly use stand-alone offline training, which is obviously unable to adapt to the continuous growth of large-scale streaming data changes. Considering the problems above, this paper proposed a distributed online integrated learning algorithm based on Flink platform, which was based on Flink distributed computing framework. The algorithm firstly performed distributed online training on the online learning algorithm through data parallelism. And then the trained multiple submodels were dynamically weighted allocation of the model through stochastic gradient descent algorithm to realize the results aggregation of multiple submodels. At the same time, the samples of the models with poor training effect were updating online. Finally, by comparing the performance of stand-alone and cluster environments on different datasets, the experimental results show that the online learning algorithm combined with the distributed ensemble training of the Flink framework can achieve the performance in the centralized training mode, and greatly improve the time efficiency of training.

Foundation Support

国家自然基金资助项目(61873218)
西南石油大学创新基地资助项目(642)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.09.0535
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 6
Section: Software Technology Research
Pages: 1784-1788
Serial Number: 1001-3695(2023)06-029-1784-05

Publish History

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

Cite This Article

曹张宇, 钟原, 周静. 基于Flink的分布式在线集成学习框架研究 [J]. 计算机应用研究, 2023, 40 (6): 1784-1788. (Cao Zhangyu, Zhong Yuan, Zhou Jing. Research on distributed online integrated learning framework based on Flink [J]. Application Research of Computers, 2023, 40 (6): 1784-1788. )

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)