基于自适应分片的大文件快速上传

随着互联网技术的不断发展, 通过网络Web进行文件的上传拥有越来越多的应用需求. 其中, 在大容量文件的上传中, 常常因资源过大导致带宽资源紧张、浏览器崩溃或加载超时等问题, 大大降低了用户体验. 针对大文件上传的众多限制问题, 本文设计并实现了基于Node.js的大文件上传系统, 采用自适应分片结合并发上传的方法, 有效地缩短了大文件上传时间. 同时结合element-ui 框架, 利用进度条实时展示上传进度, 具备良好的交互性能.

Fast Upload of Large Files Based on Adaptive Slicing

As Internet technology continues to evolve, the application demand for file uploads via the Web is on the rise. Nevertheless, large file uploads are often faced with bandwidth resource constraints, browser crashes, or loading timeouts due to excessive resources, which greatly reduces user experience. In view of the many limitations on large file uploads, this study designs and implements a large file upload system based on Node.js, combining adaptive slicing with concurrent upload to effectively shorten the upload time of such files. It also integrates the element-ui framework to show the upload progress in real time with a progress bar, and hence comes the favorable interactive performance.