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Serverless Management of Sensing Systems for Fog Computing Framework

机译:用于雾计算框架的无服务管理

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In this paper, we propose a framework for the management of the Internet of Things (IoT) devices in a smart building to model services based on the serverless computing paradigm. The deployment of an IoT compatible serverless paradigm consists of a hierarchical structural design across the edge, fog, and cloud computing layers. The fog/edge nodes collect the data generated from various sensors, process the data in the intermediate nodes, and then forward certain data to a cloud for future analysis. The framework consists of a heterogeneous IoT network. We proposed a data distribution algorithm in the framework to make sure management, maintenance and availability of heterogeneous IoT network in the serverless computing paradigm are effective and efficient. The experiments conducted are validated at the developed fog and edge gateways using API mechanism. The response times for an application doing the computation at fog level and at the cloud level are compared. The experimentation shows that latency is less for the fog model as compared to the data sent to the cloud model.
机译:在本文中,我们提出了一种管理智能建筑物中的物联网(物联网)设备的框架,以基于无服务器计算范例的模型服务。 IOT兼容无法型范式的部署包括跨边缘,雾和云计算层的分层结构设计。 FOG / EDGE节点收集来自各种传感器生成的数据,处理中间节点中的数据,然后将某些数据转发到云以供将来分析。该框架包括异构物联网网络。我们提出了一个框架中的数据分发算法,以确保在无服务器计算范例中的异构IOT网络的管理,维护和可用性是有效且有效的。使用API​​机制在发布的雾和边缘网关中验证所进行的实验。比较在雾级和云级别进行计算的应用程序的响应时间。实验表明,与发送到云模型的数据相比,潜伏期较少。

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