基于改进慢启动算法的思政网络资源大文件传输方法研究

Research on file transmission method of ideological and political network resources based on improved slow start algorithm

随着大数据时代的到来,人们对大数据量文件的传输速率要求也在日渐提高。然而,在现今的文件传输过程中,仍然存在所需时间较长、体验不佳等问题。研究为了解决常用的TCP在网络环境中,传输思政网络资源大文件效率低下的问题,通过改进慢启动算法,尝试减少数据分组的丢包率。并通过增大初始拥塞窗口,实现对思政大文件传输速度的提升。结果表明,改进算法在传输大文件时,其网络吞吐量始终保持在一个相对较高的水平上,丢包率也较小。该算法的比传统的慢启动算法传输速率均要高,且平均提升了16%左右。此次研究算法在传统慢启动算法的性能与大文件传输效率上有了提高与优化。

With the advent of the era of big data,the transmission rate requirements of large data files are also increasing.However,in today's file transfer process,there are still some problems such as long time required and poor experience.In order to solve the problem of low efficiency of transmitting large files of ideological and political network resources in common TCP in network environment,this paper tries to reduce the packet loss rate of data packets by improving the slow start algorithm.And by increasing the initial congestion window,the transmission speed of ideological and political large files is improved.The results show that the network throughput of the improved algorithm is always at a relatively high level and the packet loss rate is small when large files are transmitted.The transmission rate of this algorithm is higher than that of the traditional slow start algorithm,and the average increase is about 16%.The research algorithm has improved and optimized the performance of traditional slow start algorithm and large file transfer efficiency.