文献类型：期刊文献

英文题名：Compression Performance Analysis of Different File Formats

作者：Yang, Han[1]; Qin, Guangjun[1]; Hu, Yongqing[1]

机构：[1] Smart City College, Beijing Union University, Beijing, 100101, China

第一机构：北京联合大学智慧城市学院

年份：2023

外文期刊名：arXiv

收录：EI(收录号：20230320077)

语种：英文

外文关键词：Bandwidth - Bandwidth compression - Data compression - Data reduction

摘要：In data storage and transmission, file compression is a common technique for reducing the volume of data, reducing data storage space and transmission time and bandwidth. However, there are significant differences in the compression performance of different types of file formats, and the benefits vary. In this paper, 22 file formats with approximately 178GB of data were collected and the Zlib algorithm was used for compression experiments to compare performance in order to investigate the compression gains of different file types. The experimental results show that some file types are poorly compressed, with almost constant file size and long compression time, resulting in lower gains; some other file types are significantly reduced in file size and compression time after compression, which can effectively reduce the data volume. Based on the above experimental results, this paper will then selectively reduce the data volume by compression in data storage and transmission for the file types in order to obtain the maximum compression yield. Copyright ? 2023, The Authors. All rights reserved.