Precog:移动设备上web应用程序的基于动作的时移预取

Shruti Sanadhya, U. Moravapalle, Kyu-Han Kim, Raghupathy Sivakumar
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引用次数: 5

摘要

今天的无线供应商非常积极地提高频谱使用效率。实现这一目标的一种方法是将负载从昂贵的蜂窝网络转移到更便宜的WiFi网络上。在这种情况下,我们提出了Precog,一种基于动作的时移WiFi卸载预取解决方案。我们认为,传统的预取解决方案依赖于用户过去访问的url来预测未来的访问,在今天的动态、交互式和个性化的网络中是无效的。Precog解决这个问题的方法不是记住过去访问的确切URL,而是记住在特定网站上执行的操作。这些操作被记住为与内容布局的交互,内容布局在很长一段时间内保持一致。与之前需要同时进行蜂窝和WiFi连接的卸载解决方案不同,Precog通过时移WiFi访问卸载蜂窝内容。我们在合成和真实用户数据集上评估Precog,以展示其优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Precog: action-based time-shifted prefetching for web applications on mobile devices
Wireless providers today are highly motivated to improve efficiencies of spectrum usage. One approach to achieve this is to shift the load from expensive cellular networks to cheaper WiFi networks. In this context, we propose Precog, an action-based prefetching solution for time-shifted WiFi offloading. We argue that traditional prefetching solutions, that rely on the URLs visited in the past by a user for predicting future access, are ineffective in today's dynamic, interactive, and personalized web. Precog addresses this issue by remembering, not the exact URL accessed in the past, but the actions performed on a particular website. The actions are remembered as interactions with the content layout, which stays consistent over a long period of time. Unlike prior offloading solutions that require concurrent cellular and WiFi connectivity, Precog offloads cellular content over time-shifted WiFi access. We evaluate Precog over both synthetic and real user datasets to demonstrate its benefits.
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