Unlocking AIoT Efficiency in the Computing Continuum - the PANDORA framework

Abstract

As Internet of Things (IoT) and IoT-Edge-Cloud continuum technologies evolve, physical environments are increasingly embedded with sensors, driving the development of smart space ecosystems. The vast amounts of data generated by IoT devices are transforming how these ecosystems function through the integration of AI models and algorithms. This convergence has given rise to Artificial Intelligence of Things (AIoT) systems. Designing robust, efficient, and continuously operating AIoT systems generally depends on access to realistic, trustworthy data and innovative strategies for training and inference at runtime. This article presents PANDORA, a comprehensive framework for delivering trustworthy datasets in smart space ecosystems and supporting the deployment and operation of AIoT systems. PANDORA implements novel AI-as-a-Service (AIaaS) and Compute-as-a-Service (CaaS) components to ensure robust, explainable, and continual AIoT system operation. A prototype implementation of PANDORA is provided, along with a real-world pilot case demonstrating its applicability.