Smartphones as Alternative Cloud Computing Engines: Benefits and Trade-offs

Brennan Schaffner, Jason Sawin, J. Myre
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引用次数: 2

Abstract

Over the past decade, both the popularity and computational power of smartphones have grown at fantastic rates. These devices now represent a wealth of untapped computational power. There have been efforts to incorporate smartphones into volunteer grid frameworks as engines of computing in a manner similar to desktop computers. However, it is not clear what the energy implications of such an integration are. Phones take less energy to create and use less power while running than desktops, but they take significantly longer to complete a task. In this paper, we present an initial investigation of the tradeoffs of integrating smartphones into the cloud. We created a system to generate computation loads on both smartphones and desktops. In an empirical study, we monitored the energy consumption of both systems under similar computational loads. The results of our study show that the desktop could finish our task 10 to over 30 × faster than the smartphones. However, on specific benchmarks, we observed that the desktop consumed up to 2.26 × more energy than the most efficient phone.
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智能手机作为替代云计算引擎:好处和权衡
在过去的十年里,智能手机的普及程度和计算能力都以惊人的速度增长。这些设备现在代表了大量尚未开发的计算能力。人们一直在努力将智能手机整合到志愿者网格框架中,以类似于台式电脑的方式作为计算引擎。然而,目前尚不清楚这种整合对能源的影响是什么。与台式电脑相比,手机在制造和运行过程中消耗的能量更少,但完成一项任务所需的时间要长得多。在本文中,我们提出了将智能手机集成到云中的权衡的初步调查。我们创建了一个系统,可以在智能手机和台式机上生成计算负载。在一项实证研究中,我们监测了两个系统在相似计算负荷下的能耗。我们的研究结果表明,桌面电脑完成任务的速度比智能手机快10到30倍。然而,在特定的基准测试中,我们观察到台式机比最高效的手机多消耗2.26倍的能量。
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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