Impact of Device Performance on Mobile Internet QoE

Mallesham Dasari, Santiago Vargas, A. Bhattacharya, A. Balasubramanian, Samir R Das, M. Ferdman
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引用次数: 32

Abstract

A large fraction of users in developing regions use relatively inexpensive, low-end smartphones. However, the impact of device capabilities on the performance of mobile Internet applications has not been explored. To bridge this gap, we study the QoE of three popular applications -- Web browsing, video streaming, and video telephony -- for different device parameters. Our results demonstrate that the performance of Web browsing is much more sensitive to low-end hardware than that of video applications, especially video streaming. This is because the video applications exploit specialized coprocessors/accelerators and thread-level parallelism on multi-core mobile devices. Even low-end devices are equipped with needed coprocessors and multiple cores. In contrast, Web browsing is largely influenced by clock frequency, but it uses no more than two cores. This makes the performance of Web browsing more vulnerable on low-end smartphones. Based on the lessons learned from studying video applications, we explore offloading Web computation to a coprocessor. Specifically, we explore the offloading of regular expression computation to a DSP coprocessor and show an improvement of 18% in page load time while saving energy by a factor of four.
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设备性能对移动互联网QoE的影响
发展中地区的很大一部分用户使用相对便宜的低端智能手机。然而,设备性能对移动互联网应用性能的影响尚未得到探讨。为了弥合这一差距,我们研究了三个流行应用程序的QoE——Web浏览、视频流和视频电话——用于不同的设备参数。我们的研究结果表明,Web浏览的性能对低端硬件的敏感性远高于视频应用,尤其是视频流。这是因为视频应用程序在多核移动设备上利用了专门的协处理器/加速器和线程级并行性。即使是低端设备也配备了所需的协处理器和多核。相比之下,Web浏览在很大程度上受时钟频率的影响,但它使用的内核不超过两个。这使得低端智能手机的网页浏览性能更加脆弱。基于研究视频应用程序的经验教训,我们探索将Web计算卸载到协处理器上。具体来说,我们探索了将正则表达式计算卸载到DSP协处理器上,并显示页面加载时间提高了18%,同时节省了四倍的能量。
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