通过过滤器流模型将边缘的物联网应用映射到云连续体

Shuangsheng Lou, G. Agrawal
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引用次数: 0

摘要

在为物联网(或边缘计算)环境开发流应用程序的背景下,本文提出了一个自动化部署框架,重点是在存在资源限制的情况下优化延迟。提出了一种基于动态规划的部署算法来进行部署决策。由于电池电量是一个关键的限制因素,我们工作的一个主要组成部分是功率模型,以帮助评估边缘设备在运行时的功耗。通过使用三个应用程序,我们展示了与仅云执行的基线相比,我们的框架在功耗和响应延迟方面的显著降低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mapping IoT Applications on the Edge to Cloud Continuum with a Filter Stream Model
In the context of developing streaming applications for IoT (or Edge Computing) environments, this paper presents a framework for automated deployment with an emphasis on optimizing latency in the presence of resource constraints. A dynamic programming based deployment algorithm is developed to make deployment decisions. With battery power being a key constraint, a major component of our work is a power model to help assess the power consumption of the edge devices at the runtime. Using three applications, we show the large reductions in both power consumption and response latency with our framework, as compared to a baseline involving cloud-only execution.
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