The refined metrics we propose here support evaluating both the accuracy and the timing aspects of elastic behavior. We discuss how the metrics can be aggregated and used to compare the elasticity of cloud platforms. The metrics are designed to support human interpretation and to ease decision making by comparing resource supply and demand curves. The proposed elasticity benchmarking approach BUNGEE1 supports the use of characteristic open workload intensity profiles tailored to the intended application domain. It employs the LIMBO2 toolkit [18] with its underlying modeling formalism DLIM for describing load profiles [19]. Different levels of platform efficiency are accounted for by performing an automated calibration phase, the results of which are used to adjust the load profile executed on each platform from the considered platforms under test. In combination with the proposed metrics this allows an independent and quantitative evaluation of the actual achieved platform elasticity.