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首页> 外文会议>Second ACM International Conference on Mobile Software Engineering and Systems >Facilitating the Implementation of Adaptive Cloud Offloading to Improve the Energy Efficiency of Mobile Applications
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Facilitating the Implementation of Adaptive Cloud Offloading to Improve the Energy Efficiency of Mobile Applications

机译：促进实施自适应云卸载以提高移动应用程序的能源效率

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摘要

Cloud offloading -- leveraging remote cloud-based computing resources to execute energy-intensive functionality -- has become a common optimization technique for mobile applications. However, implementing cloud offloading techniques remains a delicate and complex task, reserved for expert programmers. If cloud computing is to realize its promise as a generally applicable, powerful optimization technique for mobile applications, its implementation barrier must be lowered. As we have discovered, reusable system building blocks exposed via a convenient programming model can facilitate the implementation of complex cloud offloading optimizations. This paper describes a system architecture for implementing adaptive cloud offloading optimizations. In particular, the architecture features parameterizable building blocks for monitoring and estimating energy consumption and performance efficiency as well as state synchronization across address spaces, which the mobile programmer can use a la carte. These blocks streamline the implementation procedure for a wide array of adaptive offloading optimizations. Applying this system architecture to third-party mobile applications has optimized their energy efficiency, depending on the execution environment in place.
机译：云卸载-利用基于远程云的计算资源执行耗能的功能-已经成为移动应用程序的常见优化技术。但是，实施云卸载技术仍然是一项微妙而复杂的任务，仅供专家程序员使用。如果云计算要实现其作为针对移动应用程序的普遍适用的强大优化技术的承诺，则必须降低其实施障碍。正如我们已经发现的那样，通过便捷的编程模型公开的可重用系统构建块可以促进实现复杂的云卸载优化。本文介绍了一种用于实现自适应云卸载优化的系统架构。尤其是，该体系结构具有可参数化的构建块，可用于监视和估计能耗和性能效率以及跨地址空间的状态同步，移动程序员可以使用这些功能。这些模块简化了各种自适应卸载优化的实现过程。将此系统架构应用于第三方移动应用程序可以优化其能效，具体取决于所处的执行环境。

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