摘要
为优化面向智能应用的计算机软件架构,以提升系统的性能、扩展性、实时处理能力,本研究采用了对比分析与实验验证方法,研究了微服务与容器化技术、事件驱动架构、云边协同等优化技术的应用效果。通过分析传统软件架构在智能应用中的瓶颈,提出了一套优化设计框架,重点关注架构分层与模块化设计、服务分解与重构、性能测试与评估。以智能推荐系统为例,对优化方案进行了验证。结果表明,提出的架构优化方案在提高系统响应速度、资源利用效率方面表现显著,能充分满足智能应用对高并发、低延迟、动态扩展的需求,研究成果可为构建高效的智能应用系统提供理论依据。
To optimize the computer software architecture for intelligent applications and improve system performance,scalability,and real-time processing capabilities,this study adopted comparative analysis and experimental verification methods to investigate the application effects of optimization technologies such as microservices and containerization,event driven architecture,and cloud edge collaboration.By analyzing the bottlenecks of traditional software architecture in intelligent applications,an optimization design framework is proposed,focusing on architecture layering and modular design,service decomposition and reconstruction,performance testing and evaluation.Taking the intelligent recommendation system as an example,the optimization scheme was validated.The results show that the proposed architecture optimization scheme performs significantly in improving system response speed and resource utilization efficiency,and can fully meet the requirements of intelligent applications for high concurrency,low latency,and dynamic expansion.The research results can provide a theoretical basis for building efficient intelligent application systems.
作者
吴应文
WU Yingwen(Shenyang Ligong University,Shenyang Liaoning 110000)
出处
《软件》
2025年第1期160-162,共3页
Software
关键词
智能技术
分布式架构
微服务架构
云边协同
intelligent technology
distributed architecture
microservice architecture
cloud edge collaboration
