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How Expensive are Free Smartphone Apps?

机译：免费的智能手机应用程序有多昂贵？

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摘要

Proliferation of data-enabled mobile devices has fueled the popularity of smartphone applications (apps) at a rapid pace, and the trend is likely to continue for the foreseeable future. Along with the increase in popularity, the characteristics and concept of paid apps and free apps is also changing. In general, paid smartphone apps generate their revenue simply from the cost of downloading the app. On the other hand, free apps rely on advertisements, and/or virtual currencies, for their revenue generation. There are several variants of these generalized approaches. In this work, we focus on identifying the overhead traffic that is generated by the free apps with respect to the paid apps. The overhead traffic is not associated with the operation of the app itself and thus should not impact the usage experience of the apps. Specifically, we consider advertisements, and the transmission of analytic data, as the main components of overhead traffic. With the gradual disappearance of unlimited data plans, the overhead traffic does not come for free. The goal of this paper is quantify the cost of the overhead traffic of the popular free apps and compare it with the paid apps. We have developed an intricate methodology for identifying and measuring the bandwidth requirements of the overheads associated with the free apps. Through comprehensive measurements, we have shown that in most cases, the paid versions of the apps will indeed be a fraction of the cost to the end users when compared to the actual cost of the free versions.
机译：启用数据的移动设备的激增迅速推动了智能手机应用程序（应用程序）的普及，并且这种趋势在可预见的未来很可能会持续下去。随着流行度的提高，付费应用程序和免费应用程序的特征和概念也在发生变化。通常，付费智能手机应用程序仅通过下载应用程序的成本即可产生收入。另一方面，免费应用依靠广告和/或虚拟货币来产生收入。这些通用方法有多种变体。在这项工作中，我们着重于确定免费应用程序相对于付费应用程序产生的间接流量。开销流量与应用程序本身的操作无关，因此不应影响应用程序的使用体验。具体来说，我们将广告以及分析数据的传输视为开销流量的主要组成部分。随着无限数据计划的逐渐消失，间接费用流量不是免费的。本文的目的是量化流行的免费应用程序的间接费用，并将其与付费应用程序进行比较。我们已经开发出一种复杂的方法来识别和测量与免费应用程序相关的间接费用的带宽需求。通过全面的评估，我们显示，在大多数情况下，与免费版本的实际成本相比，应用程序的付费版本确实是最终用户成本的一小部分。

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  • 来源
    《Mobile computing and communications review》 |2012年第3期|21-32|共12页
  • 作者

    Li Zhang; Dhruv Gupta; Prasant Mohapatra;

  • 作者单位

    Computer Science Department, University of California, Davis, CA, USA;

    Computer Science Department, University of California, Davis, CA, USA;

    Computer Science Department, University of California, Davis, CA, USA;

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  • 正文语种 eng
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