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.
Authors
- Wenqiang Cui (ORCID: https://orcid.org/0000-0003-1825-0799)
- Yang Lv
- Fang Guo (ORCID: https://orcid.org/0000-0003-0581-4030)
- Ming Zhang (ORCID: https://orcid.org/0000-0002-3648-1251)
- Lin Zhang (ORCID: https://orcid.org/0000-0003-0424-9965)
- Li Liu (ORCID: https://orcid.org/0000-0003-3022-936X)
Institutions
- Nankai University (CN)
- Tiande (China) (CN)
Publication Details
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1109/icftic64248.2024.10913036
- Primary Topic
- Advanced Manufacturing and Logistics Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00