移动应用性能评估的地理位置感知仿真

Alberto Garcia Estevez, Niklas Carlsson
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引用次数: 9

摘要

本文设计了一个简单的仿真框架,用于移动应用程序的性能评估和测试。我们的测试平台结合了生产硬件和软件,允许模拟现实的和可重复的移动场景,其中移动用户可以长距离移动,同时由应用程序服务器提供服务。该框架允许(i)地理位置信息,(ii)客户端网络条件,如带宽和损失率,以及(iii)同步模拟应用程序工作负载。为了说明该框架的强大功能,我们还介绍了用于智能手机应用程序更新的地理智能调度程序的设计、概念验证实现和评估。这个地理智能调度器通过在条件相对较好的地方使用网络性能图来调度下载,从而减少了平均下载时间。我们对地理智能调度器的跟踪驱动评估说明了仿真框架的工作原理,以及地理智能调度器的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geo-location-aware emulations for performance evaluation of mobile applications
This paper presents the design of a simple emulation framework for performance evaluation and testing of mobile applications. Our testbed combines production hardware and software to allow emulation of realistic and repeatable mobility scenarios, in which the mobile user can travel long distances, while being served by an application server. The framework allows (i) geo-location information, (ii) client network conditions such as bandwidth and loss rate, as well as (iii) the application workload to be emulated synchronously. To illustrate the power of the framework we also present the design, proof-of-concept implementation, and evaluation of a geo-smart scheduler for application updates in smartphones. This geo-smart scheduler reduces the average download time by using a network performance map to schedule the downloads when at places with relatively good conditions. Our trace-driven evaluation of the geo-smart scheduler, illustrates the workings of the emulation framework, and the potential of the geo-smart scheduler.
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