Experience: a five-year retrospective of MobileInsight

Yuanjie Li, Chunyi Peng, Zhehui Zhang, Zhaowei Tan, Haotian Deng, Jinghao Zhao, Qianru Li, Yunqi Guo, Kai Ling, Boyan Ding, Hewu Li, Songwu Lu
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引用次数: 11

Abstract

This paper reports our five-year lessons of developing and using MobileInsight, an open-source community tool to enable software-defined full-stack, runtime mobile network analytics inside our phones. We present how MobileInsight evolves from a simple monitor to a community toolset with cross-layer analytics, energy-efficient real-time user-plane analytics, and extensible user-friendly analytics at the control and user planes. These features are enabled by various novel techniques, including cross-layer state machine tracking, missing data inference, and domain-specific cross-layer sampling. Their powerfulness is exemplified with a 5-year longitudinal study of operational mobile network latency using a 6.4TB dataset with 6.1 billion over-the-air messages. We further share lessons and insights of using MobileInsight by the community, as well as our visions of MobileInsight's past, present, and future.
经验:MobileInsight的五年回顾
本文报告了我们开发和使用MobileInsight的五年经验,MobileInsight是一个开源社区工具,可以在我们的手机中实现软件定义的全栈运行时移动网络分析。我们展示了MobileInsight如何从一个简单的监视器演变为一个具有跨层分析、节能实时用户平面分析和可扩展的用户友好分析的社区工具集。这些特性是通过各种新技术实现的,包括跨层状态机跟踪、缺失数据推断和特定于领域的跨层采样。一项使用6.4TB数据集和61亿条无线消息对运营移动网络延迟进行的5年纵向研究证明了它们的强大。我们进一步分享了社区使用MobileInsight的经验教训和见解,以及我们对MobileInsight过去、现在和未来的看法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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