The optimization of computing resources at the edge, combined with cloud-based computational power, has gained significant attention in recent years under the concept of the computing continuum. Within this context, the Flexible, scaLable, secUre, and decentralIseD Operating System (FLUIDOS) project has emerged as an implementation of this paradigm, enabling seamless resource management across edge and cloud environments. Among its potential applications are optimizing resource utilization for a fleet of robots, reducing power consumption while enabling intensive computations, and facilitating interaction between connected vehicles and infrastructure. A challenge in this landscape is the discovery of available computational resources. The scope of this thesis is the design and implementation of an evaluation framework to benchmark, analyze and compare different discovery protocols within the FLUIDOS ecosystem.