Search-based Methods for Multi-Cloud Configuration

no code implementations • 20 Apr 2022 • Małgorzata Łazuka, Thomas Parnell, Andreea Anghel, Haralampos Pozidis

Our experiments indicate that (a) many state-of-the-art cloud configuration solutions can be adapted to multi-cloud, with best results obtained for adaptations which utilize the hierarchical structure of the multi-cloud configuration domain, (b) hierarchical methods from AutoML can be used for the multi-cloud configuration task and can outperform state-of-the-art cloud configuration solutions and (c) CB achieves competitive or lower regret relative to other tested algorithms, whilst also identifying configurations that have 65% lower median cost and 20% lower median time in production, compared to choosing a random provider and configuration.

AutoML Cloud Computing