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Analyzing a Modeled System.

, , , and . Engineering Scalable, Elastic, and Cost-Efficient Cloud Computing Applications - The CloudScale Method, Springer, (2017)

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Measured Values Lost in Time---or How I rose from a User to a Developer of Palladio, , and . (2016)http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-213813.Software Architecture Design Assistants Need Controlled Efficiency Experiments: Lessons Learned from a Survey, and . Proceedings of the 1st International Workshop on Future of Software Architecture Design Assistants, page 19--24. ACM, (2015)Why and How We Should Use Graphiti to Implement PCM Editors., and . KPDAYS, volume 1083 of CEUR Workshop Proceedings, page 1-10. CEUR-WS.org, (2013)Beyond Simulation: Composing Scalability, Elasticity, and Efficiency Analyses from Preexisting Analysis Results., and . WOSP-C@ICPE, page 29-34. ACM, (2015)Analysing Evolution of Work and Load., , and . QoSA, page 90-95. IEEE Computer Society, (2016)Approaching the Cloud: Using Palladio for Scalability, Elasticity, and Efficiency Analyses., and . SoSP, volume 2014/05 of Technical Report Computer Science, page 141-151. University of Stuttgart, (2014)CloudScale - Skalierbarkeit für die Cloud, and . ForschungsForum Paderborn, (2014)CloudScale Method Quick View., , , , , and . Engineering Scalable, Elastic, and Cost-Efficient Cloud Computing Applications - The CloudScale Method, Springer, (2017)Analyzing a Modeled System., , , and . Engineering Scalable, Elastic, and Cost-Efficient Cloud Computing Applications - The CloudScale Method, Springer, (2017)The CloudScale Method for Managers., , , , , and . Engineering Scalable, Elastic, and Cost-Efficient Cloud Computing Applications - The CloudScale Method, Springer, (2017)