Serverless Management of Sensing Systems for Fog Computing Framework

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.