A Review of Probabilistic Techniques Used for Web browsers’ Caching



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Submitted Jun 3, 2020
Published Jul 6, 2020
10.24018/ejeng.2020.5.7.1976

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Cache memory plays a central role in improving the performance of web servers, especially for big data transmission, which response time is constrained. It is necessary to use an effective method, such as web cache. Browsers' cache has a significant role according to less bandwidth use, response time and traffic load as well as beneficial if the internet connection is slow. Due to the space limitations, modern browsers companies attempt to use a method to store a great number of web objects and to advance the effectiveness of web browsers. Many scientists have been working to discover and recommend various techniques for this purpose. This study consequently reviews the recent likelihood probabilistic methods, to figure out how browsers store web objects in their caches, and which methods are used to load more speedily and to store a great number of web objects. The comparison between numerous browsers performed to pick and recommend the utmost one for usage. The result has shown that each browser using RI (Ratio Improvement) has powerful performance; to be discussed later. It has proposed using Google Chrome browser because web objects are placed in its cache through the RI technique that correlated with browsers' effectiveness.

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