Iterative refinement of Elasticity models

Elastic computing systems can be described via models that capture their elastic nature.

We seek a way to derive elasticity models using a data-driven and iterative approach: We run experiments to collect data about the behavior of elastic computing systems under different execution conditions, we elaborate on these data to build systems elasticity models, we evaluate the models to find flaws or potential improvement, and we define new experiments to be run. We repeat this process to refine our initial models in an incremental fashion.

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