计算机与数字工程2024，Vol.52Issue(2)：590-597,8.DOI:10.3969/j.issn.1672-9722.2024.02.052
基于Serverless架构的人工智能实验平台的设计与实现
Design and Implementation of Artificial Intelligence Experimental Platform Based on Serverless Architecture
李泽慧 1张新有1
作者信息
- 1. 西南交通大学计算机与人工智能学院 成都 611756
- 折叠
摘要
Abstract
Aiming at the practical problems of artificial intelligence experimental teaching in complex experimental environ-ment,large amount of experimental data and high difficulty of algorithm implementation,an artificial intelligence experimental plat-form based on Serverless architecture is designed and implemented.Serverless architecture is designed and built by integrating con-tainer construction,workload management and event triggering.The platform uses Docker image as the image of the experimental container,in which the scikit-learn algorithm library and a large number of public data sets are integrated to complete the migration of massive artificial intelligence basic algorithms.The experimental teaching administrators add new experiments in the form of sub-mitting experimental code packages.Students can use a large number of common algorithms in the experimental container to com-plete experiments,which improves the extensibility and usability of the platform.At the same time,the platform based on Serverless architecture to achieve the experimental container dynamic expansion capacity,increase the platform's multi-user concurrency abili-ty.关键词
人工智能/Serverless/Docker/Kubernetes/scikit-learnKey words
artificial intelligence/Serverless/Docker/Kubernetes/scikit-learn分类
信息技术与安全科学引用本文复制引用
李泽慧,张新有..基于Serverless架构的人工智能实验平台的设计与实现[J].计算机与数字工程,2024,52(2):590-597,8.
