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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 8

Data partitioning techniques in distributed systems based on hash augmentation

Ai Zhicheng
Cao Bingyao
Wang Yanyi
Key Laboratory of Specialty Fiber Optics & Optical Access Networks, Shanghai University, Shanghai 200444, China
DOI: 10.19734/j.issn.1001-3695.2025.01.0018

Abstract

Distributed data partitioning technology aims to optimize data distribution for improved computational efficiency. However, existing methods exhibit limitations in partitioning quality and redundancy control. To address these issues, this paper proposed a partitioning strategy based on Hybrid Locality-Sensitive Hashing (Hybrid LSH) and an improved Meta-Partitioning optimization technique. The method designed a Hybrid LSH framework, which achieved accurate preliminary clustering of high-dimensional data through the collaborative mechanism of MinHash and adaptive LSH. Furthermore, the algorithm introduced a dynamic two-stage edge pruning strategy and an inverse block frequency edge weight calculation method to optimize the topological structure of the partitioning graph. Experiments on four benchmark datasets demonstrated that the proposed method reduced the average partition size by 58.3% and the maximum partition size by 51.1%, compared to existing methods. The PC metric reached 96.4% (an improvement of 3.4 percentage points) , while the PQ metric achieved 11.6% (a 6.6 percentage point increase over the worst baseline) . The results provide a solution for distributed systems that balances partitioning quality and computational efficiency, with quantitative metrics validating its dual advantages in coverage and redundancy control.

Foundation Support

国家重点研发计划(2021YFB2900800)
上海市科委项目:(22511100902,22511100502)
111计划:D2003

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.01.0018
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 8

Publish History

[2025-04-17] Accepted Paper

Cite This Article

艾志成, 曹炳尧, 王演祎. 基于哈希增强技术的分布式系统数据分片技术 [J]. 计算机应用研究, 2025, 42 (8). (2025-04-17). https://doi.org/10.19734/j.issn.1001-3695.2025.01.0018. (Ai Zhicheng, Cao Bingyao, Wang Yanyi. Data partitioning techniques in distributed systems based on hash augmentation [J]. Application Research of Computers, 2025, 42 (8). (2025-04-17). https://doi.org/10.19734/j.issn.1001-3695.2025.01.0018. )

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.

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