A Container-Based Cloud Implementation of a Multi-Swarm PSO for Fuzzy Controller Optimization

Abstract

The adoption of cloud-native technologies for distributed computing presents a set of unique challenges. It’s important to consider the cloud provider features to achieve scalability, fault-tolerance, reproducibility, and cost-effectiveness while maintaining intended functionality. This paper introduces a container-based implementation of a cloud-native multi-population PSO on Amazon’s Elastic Container Service and evaluates its to solution and performance and scalability. The study examines the impact of the design parameters, suchas the number of swarms and the number of worker containers implementing isolated PSO algorithms. Furthermore, the paper proves that the proposed solution is offering a robust alternative for both localand cloud environments. The results underscore the benefits of containerization for cloud-based bioinspired computing.