Mapping IoT Applications on the Edge to Cloud Continuum with a Filter Stream Model

Abstract

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.