Analyzing Cost-Efficiency of Cloud Computing Applications with SimuLizar
|In 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.
|Geselllschaft für Informatik e.V.
|Softwaretechnik-Trends Band 35, Heft 3
|Communication Networks; Distributed System; Cloud applications; Software Engineering; Metrics—Scalability; Elasticity; Efficiency
|Analyzing Cost-Efficiency of Cloud Computing Applications with SimuLizar
|Sonderteil: Proceedings of the Symposium on Software Performance (SSP) 2015, 4. - 6. November 2015, Munich, Germany