Empirical Study on Effects of Compression Algorithms in Web Environment

Abstract

Web resource compression is one of the most useful tools, which is utilized to accelerate website performance. Compressed resources take less time to transfer from server to client. This leads to faster rendering of web page content resulting in a positive impact on the user experience. However, content compression is time consuming and brings extra demands on system resources. For these reasons, it is necessary to know how to choose a suitable algorithm for a particular web content. In this paper, we present an empirical study on the effects of the compression algorithms, which are used in web environment. This study covers Gzip, Zopfi and Brotli compression algorithms and provides their performance comparison.