An Adaptive Transaction Parallel Optimization Strategy for On-Chain and Off-Chain Collaborative Storage in Civil Aviation Systems

The expanding scale of the civil aviation industry has gradually exposed issues of heavy on-chain storage burdens and serial execution of transactions in Dapps. These issues have led to inefficiencies and slow response times, hindering the overall performance and scalability of systems. To address these issues, this paper presents an Adaptive Transaction Parallel Optimization Strategy (ATPOS) combined with an On-chain and Off-chain Collaborative Storage (2OCS). By alleviating on-chain storage demands and implementing parallel transaction execution, 2OCS reduces storage costs while improving system performance. ATPOS executes transactions asynchronously and further enhances system concurrency by dynamically adjusting block packaging strategies in response to real-time network conditions. Experimental results demonstrate that the proposed approach decreases transaction processing time by up to 4.7 times compared to traditional methods, offering a robust solution for managing large-scale concurrent requests in civil aviation systems.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/icftic64248.2024.10913036
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
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article

An Adaptive Transaction Parallel Optimization Strategy for On-Chain and Off-Chain Collaborative Storage in Civil Aviation Systems

Wenqiang Cui, Yang Lv, Fang Guo, Ming Zhang et al.
Advanced Manufacturing and Logistics Optimization
article

An Adaptive Transaction Parallel Optimization Strategy for On-Chain and Off-Chain Collaborative Storage in Civil Aviation Systems

Wenqiang Cui, Yang Lv, Fang Guo, Ming Zhang, Lin Zhang, Li Liu
article en

Abstract

The expanding scale of the civil aviation industry has gradually exposed issues of heavy on-chain storage burdens and serial execution of transactions in Dapps. These issues have led to inefficiencies and slow response times, hindering the overall performance and scalability of systems. To address these issues, this paper presents an Adaptive Transaction Parallel Optimization Strategy (ATPOS) combined with an On-chain and Off-chain Collaborative Storage (2OCS). By alleviating on-chain storage demands and implementing parallel transaction execution, 2OCS reduces storage costs while improving system performance. ATPOS executes transactions asynchronously and further enhances system concurrency by dynamically adjusting block packaging strategies in response to real-time network conditions. Experimental results demonstrate that the proposed approach decreases transaction processing time by up to 4.7 times compared to traditional methods, offering a robust solution for managing large-scale concurrent requests in civil aviation systems.

Nankai University (CN), Tiande (China) (CN)
Openalex Percentile: Top 58%
Advanced Manufacturing and Logistics Optimization
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