Distributed Genetic Algorithm implementation based on a publish/subscriber pattern
收藏DataCite Commons2025-12-02 更新2026-04-25 收录
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https://dataverse.csuc.cat/citation?persistentId=doi:10.34810/data2672
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资源简介：
This dataset comprises the experimental results of a distributed genetic algorithm for application placement in the cloud–edge/fog continuum. It includes:
- execution logs of multiple placement scenarios under four different distribution models (traditional centralized, semi-distributed, fully-distributed, neighbour-aware), each with multiple repetitions;
- csv files capturing solution sets (Pareto fronts) for each run, including objective values (e.g., latency, cost, resource usage) and instance metadata (e.g., number of infrastructure nodes, number of applications/services, worker counts, distribution mode);
- aggregated result plots summarising performance metrics (e.g., convergence, generational distance, network overhead) across scenarios, generated via analizeresults.py;
- configuration files to reproduce the experiments (executionConfig.py, optimizationConfig.py, experimentationConfig.py).
提供机构：
CORA.Repositori de Dades de Recerca
创建时间：
2025-10-20
