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首页> 外文会议>2017 XLIII Latin American Computer Conference >An empirical evaluation of a simple energy aware scheduler for mobile grids
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An empirical evaluation of a simple energy aware scheduler for mobile grids

机译：对移动网格的简单节能调度器的经验评估

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摘要

Nowadays mobile devices are multi-core computers with considerable unused capabilities. Therefore, several researchers have considered harnessing the power of these battery-powered devices for distributed computing. Although their evergrowing capabilities, the fact that mobile devices run on battery poses a major challenge for applying traditional distributed computing techniques. Particularly, researchers aimed at using mobile devices as resources for executing computationally intensive task. Different job scheduling algorithms were proposed with this aim, but many of them require information that is unavailable or difficult to obtain in real-life environments, such as how much energy would require a job to be finished. In this context, Simple Energy Aware Scheduler (SEAS) is a scheduling technique for computational intensive Mobile Grids that only require easily accessible information. It was proposed in 2010 and it has been the base for a range of research work. Despite being described as easily implementable in real-life scenarios, SEAS and other SEAS-improvements works have always been evaluated using simulations. In this work, we present a distributed computing platform for mobile devices that support SEAS and empirical evaluation of the SEAS scheduler. The obtained result supports previous simulation results and by extension further validating other SEAS-based results.
机译：如今，移动设备是具有大量未使用功能的多核计算机。因此，一些研究人员已考虑利用这些电池供电设备的功率进行分布式计算。尽管移动设备具有不断增长的功能，但使用电池供电的事实对应用传统的分布式计算技术提出了重大挑战。特别地，研究人员旨在将移动设备用作执行计算密集型任务的资源。为此目的提出了不同的作业调度算法，但是其中许多算法需要在现实环境中不可用或难以获得的信息，例如需要多少能量才能完成作业。在这种情况下，简单能源意识调度程序（SEAS）是一种调度技术，用于只需要易于访问的信息的计算密集型移动网格。它是在2010年提出的，它已成为一系列研究工作的基础。尽管被描述为在现实生活中很容易实现，但是SEAS和其他SEAS改进工作始终使用模拟进行评估。在这项工作中，我们为移动设备提供了一个分布式计算平台，该平台支持SEAS和SEAS调度程序的经验评估。获得的结果支持先前的仿真结果，并通过扩展进一步验证其他基于SEAS的结果。

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