CrowdAdaptor: A Crowd Sourcing Approach toward Adaptive Energy-Efficient Configurations of Virtual Machines Hosting Mobile Applications

2014 IEEE 38th Annual Computer Software and Applications Conference Pub Date : 2014-07-21 DOI:10.1109/COMPSAC.2014.72

Edward Y. Y. Kan, W. Chan, T. Tse

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引用次数: 2

Abstract

Applications written by end-user programmers are hardly energy-optimized by these programmers. The end users of such applications thus suffer significant energy issues. In this paper, we propose CrowdAdaptor, a novel approach toward locating energy-efficient configurations to execute the applications hosted in virtual machines on handheld devices. CrowdAdaptor innovatively makes use of the development artifacts (test cases) and the very large installation base of the same application to distribute the test executions and performance data collection of the whole test suites against many different virtual machine configurations among these installation bases. It synthesizes these data, continuously discovers better energy-efficient configurations, and makes them available to all the installations of the same applications. We report a multi-subject case study on the ability of the framework to discover energy-efficient configurations in three power models. The results show that Crowd Adaptor can achieve up to 50% of energy savings based on a conservative linear power model.

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CrowdAdaptor:面向托管移动应用程序的虚拟机的自适应节能配置的众包方法

由最终用户程序员编写的应用程序很难被这些程序员进行能量优化。因此，这些应用程序的最终用户遭受了严重的能源问题。在本文中，我们提出了CrowdAdaptor，这是一种定位节能配置的新方法，用于在手持设备上执行托管在虚拟机上的应用程序。CrowdAdaptor创新地利用开发工件(测试用例)和相同应用程序的非常大的安装基础，在这些安装基础中针对许多不同的虚拟机配置分发整个测试套件的测试执行和性能数据收集。它综合这些数据，不断发现更好的节能配置，并将它们提供给相同应用程序的所有安装。我们报告了一个关于框架在三种功率模型中发现节能配置的能力的多主题案例研究。结果表明，基于保守的线性功率模型，人群适配器可以实现高达50%的节能。

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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2014 IEEE 38th Annual Computer Software and Applications Conference

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