摘要
区块链智能合约在执行性能方面的瓶颈,制约了区块链技术的应用。智能合约执行过程存在计算资源利用率低、状态访问延迟高及并发处理能力受限等问题。针对这些问题,通过依赖关系分析优化计算任务调度,建立多层级存储结构提升状态数据访问效率,改进虚拟机指令集增强执行性能。实验结果表明,优化后系统吞吐量提升2.8倍,响应时间降低65%,缓存命中率达94.3%。创新性改进包括自适应压缩机制、动态门控指令集及多级优化调度策略等,为区块链性能优化提供了新思路。
Blockchain smart contracts face computational performance bottlenecks that restrict the application of blockchain technology.The execution of smart contracts encounters challenges such as low computational resource utilization,high state access latency,and limited concurrent processing capability.To address these issues,computational task scheduling is optimized through dependency analysis,a multi-level storage structure is established to enhance state data access efficiency,and the virtual machine instruction set is improved to boost execution performance.Experimental results demonstrate that the optimized system achieves a 2.8 times increase in throughput,65%reduction in response time,and 94.3%cache hit rate.Innovative improvements include adaptive compression mechanisms,dynamic gated instruction sets,and multi-level optimization scheduling strategies,providing new approaches for blockchain performance optimization.
作者
柯利
KE Li(Pricewaterhouse Coopers Zhongtian Accounting Firm(Special General Partnership)Beijing Branch,Beijing 100020,China)
出处
《智能物联技术》
2025年第2期86-89,共4页
Technology of Io T& AI
关键词
区块链
智能合约
任务调度
状态存储
blockchain
smart contract
task scheduling
state storage
作者简介
柯利(1986-),女,湖北武汉人,本科,主要研究方向为软件系统开发。
