Year: 2025
Type: conference-paper
Abstract: With the rapid development of blockchain and artificial intelligence technologies, smart e-contract systems have great potential for application. This study proposes a new global contract processing architecture. It consists of an AI-driven decision layer for contract analysis, a blockchain execution layer for transaction processing, and a validation layer to maintain consistency. Experimental evaluations on a test platform processing 50,000 transactions show significant performance improvements of the architecture. Throughput was increased by 27% and latency was reduced by 35% compared to the core system. The architecture achieved 15,200 TPS under production workloads while maintaining 99.99% availability. Optimised deep learning pipelines (storage efficiency of 92%) and content error warning mechanisms (recovery time of 2.3 seconds) are important technical innovations. The system resource management module improved CPU utilisation by 24% and reduced memory overhead by 31%. These advances make contract processing more efficient, secure and scalable in large-scale environments.
Authors: Ying Li, Sai Yang, Fei Huang, Tangqi Yao
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4412118003