Services Orchestration at the Edge and in the Cloud for Energy-Aware Precision Beekeeping Systems

Precision Beekeeping systems collect data on colonies of bees using sensors to assist beekeepers and preserve bees. The collection, transfer, and processing of such data are energy-intensive processes. However, most Precision Beekeeping systems work under a limited energy budget.This article focuses on the placement of AI-based energy-aware Precision Beekeeping services at the edge and in the cloud. We deploy a set of smart beehives as edge devices in order to conduct experiments and collect real data. Then, we simulate large-scale systems with embedded services. Our results show that parameters like the number of smart beehives, the frequency of data collection, and different losses impact the placement of these services to enhance energy efficiency.