RILAnalyzer: a comprehensive 3G monitor on your phone

N. Vallina-Rodriguez, Andrius Aucinas, Mário Almeida, Y. Grunenberger, K. Papagiannaki, J. Crowcroft
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引用次数: 51

Abstract

The popularity of smartphones, cloud computing, and the app store model have led to cellular networks being used in a completely different way than what they were designed for. As a consequence, mobile applications impose new challenges in the design and efficient configuration of constrained networks to maximize application's performance. Such difficulties are largely caused by the lack of cross-layer under- standing of interactions between different entities -applications, devices, the network and its management plane. In this paper, we describe RILAnalyzer, an open-source tool that provides mechanisms to perform network analysis from within a mobile device. RILAnalyzer is capable of recording low-level radio information and accurate cellular net- work control-plane data, as well as user-plane data. We demonstrate how such data can be used to identify previously overlooked issues. Through a small user study across four cellular network providers in two European countries we infer how different network configurations are in reality and explore how such configurations interact with application logic, causing network and energy overheads.
RILAnalyzer:手机上的全面3G监视器
随着智能手机、云计算和应用商店模式的普及,蜂窝网络正以一种完全不同于其设计初衷的方式被使用。因此,移动应用对受限网络的设计和有效配置提出了新的挑战,以最大限度地提高应用程序的性能。这些困难很大程度上是由于缺乏对不同实体(应用程序、设备、网络及其管理平面)之间交互的跨层理解造成的。在本文中,我们描述了RILAnalyzer,这是一个开源工具,提供了从移动设备内执行网络分析的机制。RILAnalyzer能够记录低级无线电信息和精确的蜂窝网络控制平面数据,以及用户平面数据。我们将演示如何使用这些数据来识别以前被忽视的问题。通过对两个欧洲国家的四个蜂窝网络提供商的小型用户研究,我们推断了现实中不同的网络配置,并探索了这些配置如何与应用程序逻辑交互,从而导致网络和能源开销。
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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