Paper
2 May 2023 Study of data distribution based on AHM attribute hierarchy model
Linfeng Dai
Author Affiliations +
Proceedings Volume 12642, Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023); 1264218 (2023) https://doi.org/10.1117/12.2674973
Event: Second International Conference on Electronic Information Engineering, Big Data and Computer Technology (EIBDCT 2023), 2023, Xishuangbanna, China
Abstract
The current traditional data distribution algorithms lead to poor distribution due to the lack of mapping processing of data. In this regard, the research of data distribution based on AHM attribute hierarchy model is proposed. The AHM structural model is constructed, the data is mapped and processed, and the slice key is specified as the system index basis to realize data slice, and finally the data distribution strategy is proposed by combining the optimization method of virtual node distribution method. In the experiments, the data distribution performance of the proposed method is verified. The analysis of the experimental results shows that the data connection query time is shorter when the proposed method is used for data processing, and it has a more excellent data processing performance.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Linfeng Dai "Study of data distribution based on AHM attribute hierarchy model", Proc. SPIE 12642, Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023), 1264218 (2 May 2023); https://doi.org/10.1117/12.2674973
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KEYWORDS
Data modeling

Data storage

Associative arrays

Data processing

Databases

Design and modelling

Distributed computing

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