This repository contains the experimental data obtained from two series of experiments to validate and profile spark-eclib, a framework written in Scala to support the development of distributed population-based metaheuristics and their application to the global optimization of large-scale problems in Spark clusters: Experiments to validate the proposal of a generic topology for distributed PSO algorithms. Experiments to profile the parallel implementations of a PSO template.

{"references": ["Pardo, X.C. et al (2023). An approach to support generic topologies in distributed PSO algorithms in Spark. Short Papers of the 11th Conference on Cloud Computing Conference, Big Data & Emerging Topics (JCC-BD&ET 2023), La Plata, Argentina. https://doi.org/10.35537/10915/155281"]}