5G环境下基于边缘计算的图书馆智慧服务响应能力研究

Research on the Response Capability of Library Smart Service Based on Edge Computing in 5G Environment

[目的/意义] ChatGPT等生成式人工智能的兴起使图书馆智慧服务的数据处理能力和信息传递能力受到了严峻考验。利用5G网络的高并发、低延迟特性和边缘计算的分布式处理能力,能够有效缓解生成式AI对图书馆智慧服务产生的压力。[方法/过程]文章构建了5G环境下的云—边—端协同的图书馆智慧服务架构,并利用DPH动态资源调度算法探究图书馆智慧服务的响应能力。[结果/结论]仿真结果表明,基于边缘计算的图书馆智慧服务响应模型相较于贪婪算法,其时延与能耗性能表现更为优异,验证了该方法的有效性。

[Purpose/significance] The rise of generative AI such as ChatGPT has severely tested the data processing ability and information transmission ability of library smart service.The utilization of 5G network's high concurrency and low delay characteristics,as well as the distributed processing capability of edge computing can effectively alleviate the pressure generated by generative AI on library smart services.[Method/process] This paper builds a cloud-edge-end collaborative smart service architecture of library under 5G environment,and uses DPH dynamic resource scheduling algorithm to explore the response capability of library smart service.[Result/conclusion] The simulation results show that compared with greedy algorithm,the proposed library smart service response model based on edge computing has better performance of delay and energy consumption,which verifies the effectiveness of the proposed method.