Lehrig, VEikerling, Hendrik2023-03-132023-03-132015https://dl.gi.de/handle/20.500.12116/40774In cloud computing, software applications are potentially able to use only the computing resources that are minimally needed for performant operation. Because cloud providers provision such resources on a pay-per-use basis, software architects are interested in analyzing the operational costs that accrue for such applications, allowing architects to optimize for cost-efficiency. Current analysis approaches like Palladio focus on traditional performance metrics but lack support for cost-efficiency metrics. Therefore, software architects have to inaccurately estimate operational costs of their applications, potentially leading to economically unusable applications. To tackle this problem, we integrated cost metrics into SimuLizar, a Palladio extension for analyzing cloud computing applications. Our integration allows architects to attach prices to computing resources used by software applications. In a proof-of-concept evaluation with a simple book shop, we show that our integration allows architects to analyze costs with high accuracy.enCommunication Networks; Distributed System; Cloud applications; Software Engineering; Metrics—Scalability; Elasticity; EfficiencyText/Journal Article0720-8928