Research on database pre-aggregation method for cloud-edge-device collaboration architecture

The cloud-edge-device collaborative architecture serves as the foundation for applications such as smart manufacturing and smart cities, with collaborative computing as a critical supporting technology. Within this architecture, due to the diversity and large scale of data, traditional data management techniques struggle to support real-time querying of large-scale data. To address this, this paper proposes a database pre-aggregation method tailored to cloud-edge-device collaboration, utilizing an automated materialized view generation strategy to achieve data pre-aggregation and improve real-time query performance. Experimental results show that this pre-aggregation method reduces query time by up to 68.45%, significantly enhancing data query performance in cloud-edge-device collaborative architecture.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-05-01
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
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article

Research on database pre-aggregation method for cloud-edge-device collaboration architecture

SHILAP Revista de lepidopterología
Cloud Computing and Resource Management
article

Research on database pre-aggregation method for cloud-edge-device collaboration architecture

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Abstract

The cloud-edge-device collaborative architecture serves as the foundation for applications such as smart manufacturing and smart cities, with collaborative computing as a critical supporting technology. Within this architecture, due to the diversity and large scale of data, traditional data management techniques struggle to support real-time querying of large-scale data. To address this, this paper proposes a database pre-aggregation method tailored to cloud-edge-device collaboration, utilizing an automated materialized view generation strategy to achieve data pre-aggregation and improve real-time query performance. Experimental results show that this pre-aggregation method reduces query time by up to 68.45%, significantly enhancing data query performance in cloud-edge-device collaborative architecture.

SHILAP Revista de lepidopterología
Industry, innovation and infrastructure
Openalex Percentile: Top 36%
Cloud Computing and Resource Management
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Research on database pre-aggregation method for cloud-edge-device collaboration architecture · SHILAP Revista de lepidopterología (2025) | TGRS Research Map | TGRS