海报:一种降低智能手表能耗的新型计算卸载技术

Jaejun Ko, Jongwon Lee, Young-June Choi
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引用次数: 3

摘要

1. 与现有技术将复杂的计算卸载到具有无限资源的云服务器上相比,该技术将计算卸载到具有有限资源的智能手机上。因此,我们必须考虑智能手机可以代替智能手表,根据智能手机的状态,如能耗,进程延迟和其他进程的副作用来执行复杂的计算。因此,与其他现有技术相比,在本文提出的技术中,智能手表和智能手机都有一个卸载决策组件[1]。我们还提出了两种算法,用于卸载每个设备的决策组件以获得准确的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Poster: A Novel Computation Offloading Technique for Reducing Energy Consumption of Smart Watch
1. INSTRUCTION In contrast to existing techniques that offload complex computations to the cloud server which has infinite resources, the proposed technique offloads to the smart phone which has finite resources. Thus, we have to consider that a smartphone can perform the complex computation instead of a smart watch based on the smartphone’s state such as energy consumption, process delay and side-effect of other processes. For this reason, in the proposed technique, both the smart watch and smartphone have a component for offloading decision in contrast with other existing technique [1]. We also propose two algorithms, which are applied to offloading decision component of each devices for accurate decision.
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