Mobile Data Offloading: An Experimental Evaluation

Matteo Pozza, C. Palazzi, Armir Bujari
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引用次数: 3

Abstract

Mobile data traffic is becoming a key issue, causing traffic overload problems for classic resource providers. Tackling this issue, different solutions have been proposed, communed by the goal of alleviating the burden on the infrastructure while guaranteeing service availability. In this context, swarming protocols present the advantage of addressing the problem at its source, e.g., by engaging a lower number of direct connections with the network hosted server(s), while the requesters share these same resources among them. However, these solutions are generally verified only through simulation studies. While simulations consist in a necessary first step, they can be far from the actual outcome of employing real protocols and devices. To this end, we discuss BlueFall, an application platform that allows a rapid development and testing of swarming protocols using off-the-shelf smartphones and PCs. Pursuing our goal, we provide some evidence on two swarming schemes we have implemented in our testbed, profiling different access technologies.
移动数据卸载:一个实验评估
移动数据流量正在成为一个关键问题,导致传统资源提供商的流量过载问题。针对这个问题,已经提出了不同的解决方案,其共同目标是在保证服务可用性的同时减轻基础设施的负担。在这种情况下,集群协议具有从源头解决问题的优势,例如,通过与网络托管服务器进行较少数量的直接连接,而请求者在它们之间共享这些相同的资源。然而,这些解决方案通常只能通过模拟研究来验证。虽然模拟是必要的第一步,但它们与使用真实协议和设备的实际结果相去甚远。为此,我们讨论了blufall,这是一个应用程序平台,允许使用现成的智能手机和pc快速开发和测试群集协议。为了实现我们的目标,我们提供了我们在测试台上实现的两种群集方案的一些证据,分析了不同的访问技术。
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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