利用程序分析减少移动应用程序中的用户感知延迟

Yixue Zhao, Marcelo Schmitt Laser, Yingjun Lyu, N. Medvidović
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引用次数: 27

摘要

降低移动应用中的网络延迟是改善移动用户体验的有效途径,具有切实的经济效益。本文介绍了PALOMA,一种新颖的以客户端为中心的技术,通过在Android应用程序中预取HTTP请求来减少网络延迟。我们的工作利用字符串分析和回调控制流分析来自动测量应用程序,使用PALOMA严格的方案来解决“什么”和“什么时候”预取。PALOMA已被证明可以显著节省运行时(每个可预取的HTTP请求几百毫秒),无论是在我们开发的可重用评估基准测试上还是在实际应用程序上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Leveraging Program Analysis to Reduce User-Perceived Latency in Mobile Applications
Reducing network latency in mobile applications is an effective way of improving the mobile user experience and has tangible economic benefits. This paper presents PALOMA, a novel client-centric technique for reducing the network latency by prefetching HTTP requests in Android apps. Our work leverages string analysis and callback control-flow analysis to automatically instrument apps using PALOMA's rigorous formulation of scenarios that address "what" and "when" to prefetch. PALOMA has been shown to incur significant runtime savings (several hundred milliseconds per prefetchable HTTP request), both when applied on a reusable evaluation benchmark we have developed and on real applications.
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