Gestione del carico di lavoro in ambienti edge- computing eterogenei

As the adoption of IoT devices is rising, the need for efficient and cost-effective methods of managing their workloads is becoming in- creasingly important. Edge computing technologies have emerged as a promising solution, offering lower latency and reduced network costs compared to traditional cloud-based approaches. In this context, this thesis focuses on the development of a controller for managing con- tainerized workflows derived from IoT applications using edge com- puting. The proposed solution provides a method of managing and deploying containerized workloads on edge devices. The system is designed to support a variety of IoT appliances by adopting industry standard containerization technologies, and aims to be integrated with other edge-based services. The controller is evaluated through a se- ries of experiments, demonstrating its ability to manage containerized workflows. The results highlight the potential benefits of using edge computing technologies in the use case of IoT workloads.