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Self-tuned remote execution for pervasive computing

机译:自调整远程执行以实现普适计算

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摘要

Pervasive computing creates environments saturated with computing and communication capability, yet gracefully integrated with human users. Remote execution has a natural role to play, in such environments, since it lets applications simultaneously leverage the mobility of small devices and the greater resources of large devices. In this paper, we describe Spectra, a remote execution system designed for pervasive environments. Spectra monitors resources such as battery, energy and file cache state which are especially important for mobile clients. It also dynamically balances energy use and quality goals with traditional performance concerns to decide where to locate functionality. Finally, Spectra is self-tuning-it does not require applications to explicitly specify intended resource usage. Instead, it monitors application behavior, learns functions predicting their resource usage, and uses the information to anticipate future behavior.
机译:普适计算创建的环境充满了计算和通信功能,但又与人类用户完美地集成在一起。在这样的环境中,远程执行扮演着自然的角色,因为它使应用程序可以同时利用小型设备的移动性和大型设备的更多资源。在本文中,我们描述了Spectra,这是一种为普适环境设计的远程执行系统。 Spectra监视诸如电池,电量和文件缓存状态之类的资源,这些资源对于移动客户端特别重要。它还可以动态平衡能源使用和质量目标与传统性能问题之间的关系,以决定在何处定位功能。最后,Spectra是自调整的,不需要应用程序明确指定预期的资源使用情况。相反,它监视应用程序的行为,学习预测其资源使用情况的功能,并使用该信息预测未来的行为。

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