Controlled Experiment On EdgeAlignments protocol

This dataset contains the empirical evaluation results of the *EdgeAlignments* protocol, a streaming federated conformance checking algorithm for distributed edge environments.It comprises aggregated and raw CSV files covering four experimental factors — training size, context depth, predecessor-likelihood threshold, and request bundling — each measured across five real-world event logs (BPIC2017, Sepsis, TrafficFine, PermitLog, SmartFactory) with three independent runs per configuration.Per configuration, the dataset records alignment accuracy (exact match percentage), model size (entrypoint count), memory footprint (cache states), network load (remote calls per event), and processing time (elapsed ms per event), together with their means, standard deviations, minima, and maxima across runs. Additionally, the evaluation and algorithm scripts