Published September 22, 2023
| Version v3
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Experimental data from the initial validation of spark-eclib, a new framework for distributed metaheuristics in Spark
Description
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.
Files
caching.zip
Additional details
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