Practical Aspects of Edge-Cloud Platform for Health and Wellbeing

Abstract

This paper presents the lessons learned in deploying an edge-to-cloud-based platform to support the health and well-being of the elderly. Data was collected from various sensors in different formats and converted on edge devices into suitable types for further processing. We implemented and compared multiple architectural approaches for data analysis using Amazon Web Services (AWS). The results were visualized as interactive graphs on a web browser interface, achieving an average response time of around 7 seconds. Our study highlights performance considerations, architectural choices, and practical insights, offering best practices for the efficient deployment of cloud-based services in elderly care applications.