Smart mobile web browsing

Abstract

Mobile web browsing is one of the most commonly used and wide-spread application (app) among smartphone apps. However, the complexity of web-pages is increasing especially if the web-pages are designed for desktop computers. The existence of advertisements (ads) in web-page leads to even higher complexity of the web-pages. This complexity in smartphone's environment where the resources are limited (e.g., battery and bandwidth) is reflected in longer loading time, more energy consumed, and more bytes transferred. In this paper, we classify the web contents into: (i) core information, and (ii) forced "unwanted" information, namely ads. Then, we evaluate resources used for web advertising. Based on the measurements of the cost of web advertising, we propose a framework for mobile browsing that adapts the web-pages delivered to the smartphone, based on the smartphone's current battery level and the network type. The adaptation of the web content is in the form of controlling the amount of ads to be displayed on the web-page. Our system aims to (i) extend smartphone battery life and (ii) preserve the bandwidth needed to download the web-pages while balancing the satisfaction of the publishers of web-pages as well as the end users.