Refining Mobile Web Design for Reducing Energy Consumption of Mobile Terminals

Takuya Ihara, S. Doki, T. Ogishi, Suhua Tang, S. Obana
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引用次数: 2

Abstract

Recent years have seen an increasing demand of web applications on mobile terminals. However, web pages, conventionally designed for PCs with stable power supply and large screen, do not lead to the same user experience when directly running on mobile terminals with limited battery and small screen. There have been some initial efforts on mobile-enabled web design, but the energy consumption of web pages on mobile terminals is seldom taken into account. In this paper, we discuss how to refine mobile web design for reducing energy consumption of web browsing on mobile terminals. First, based on experiments, we analyze energy consumption of different computing resources on each mobile terminal during web page browsing. We reveal that besides CPU, Wi-Fi and display, scrolling operations also lead to a large energy consumption, which, however, is not seriously considered in previous works. Then, based on the fact that web contents have different access popularity, we propose a content rearrangement method: listing contents in the decreasing order of their access popularity so as to reduce the average number of scrolling operations required to reach target contents. The proposed method is evaluated, by both theoretical analysis and experiments on actual web pages. e.g., in a scenario with 100 contents where the top 10 are already in order, applying the proposed method to the rest 90 less popular contents still reduces the energy consumption of web browsing by 26% according to the theoretical analysis.
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改进移动网页设计,降低移动终端能耗
近年来,移动终端对web应用程序的需求越来越大。然而,网页通常是为供电稳定、屏幕大的个人电脑设计的,直接在电池有限、屏幕小的移动终端上运行,用户体验就不一样了。在移动端网页设计方面已经有了一些初步的努力,但是移动端网页的能耗很少被考虑在内。在本文中,我们讨论了如何改进移动网页设计,以减少移动终端的网页浏览能耗。首先,在实验的基础上,分析了各移动终端在网页浏览过程中不同计算资源的能耗。我们发现,除了CPU, Wi-Fi和显示,滚动操作也会导致大量的能源消耗,但是在以前的工作中并没有认真考虑。然后,基于web内容具有不同的访问流行度,我们提出了一种内容重排方法:按照访问流行度降序排列内容,以减少到达目标内容所需的平均滚动操作次数。通过理论分析和实际网页实验对该方法进行了验证。例如,在有100个内容的场景中,排名前10的内容已经排好了,根据理论分析,将所提出的方法应用于其余90个不太受欢迎的内容,仍然可以减少26%的网络浏览能耗。
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