Latency Analysis in Raspberry Pi Based Edge Smart Notice Boards
TL;DR
The results indicated that active edge intelligence, combined with lightweight messaging protocols and structured cloud storage, substantially enhances computational efficiency in digital commerce deployments.
Abstract
A tremendous growth of Internet of Things (IoT) devices and the corresponding requirement of low-latency services have resulted in cloud-based standalone architectures to be insufficient to fulfil the demand for realtime commerce applications. This study investigates the computing efficiency of Cloud-only, Edge-only as well as Hybrid Edge-Cloud system using a digital commerce notice delivery system developed on a Raspberry Pi. Two prototype models are developed and evaluated empirically. Model 1 deploys Google Drive as the cloud backend with passive edge caching over Web Sockets. On the other hand, Model 2 employs Supabase as a structured cloud database combined with RFID-based edge processing activity over MQTT. Latency measurements across multiple trials resulted in a Hybrid Edge Cloud approach with lower latency in displaying as well as uploading. The results indicated that active edge intelligence, combined with lightweight messaging protocols and structured cloud storage, substantially enhances computational efficiency in digital commerce deployments.