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Quantifying Cloud Performance and Dependability: Taxonomy, Metric Design, and Emerging Challenges.

, , , , , , , , , , and . ACM Trans. Model. Perform. Evaluation Comput. Syst., 3 (4): 19:1-19:36 (2018)

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A Joint Benchmark-Analytic Approach For Design-Time Assessment of Multi-Cloud Applications., , , and . Cloud Forward, volume 68 of Procedia Computer Science, page 67-77. Elsevier, (2015)Enterprise applications cloud rightsizing through a joint benchmarking and optimization approach., , , , , and . Future Gener. Comput. Syst., (2018)Erratum to: A Hybrid Machine Learning Approach for Performance Modeling of Cloud-Based Big Data Applications., , , and . Comput. J., 66 (2): 524 (February 2023)A Model Driven Approach for Supporting the Cloud Target Selection Process., , , , and . Cloud Forward, volume 68 of Procedia Computer Science, page 89-102. Elsevier, (2015)A Hybrid Machine Learning Approach for Performance Modeling of Cloud-Based Big Data Applications., , , and . Comput. J., 65 (12): 3123-3140 (2022)A Multi-Cloud Framework for Measuring and Describing Performance Aspects of Cloud Services Across Different Application Types., , , , , , , , , and 3 other author(s). CLOSER, page 714-721. SciTePress, (2014)Cloud toolkit for Provider assessment, optimized Application Cloudification and deployment on IaaS., , , , , , , , , and . Future Gener. Comput. Syst., (2020)Experimenting with Application-Based Benchmarks on Different Cloud Providers via a Multi-cloud Execution and Modeling Framework., , , , , , , , , and 5 other author(s). CLOSER (Selected Papers), volume 512 of Communications in Computer and Information Science, page 213-227. Springer, (2014)Performance Prediction of Cloud-Based Big Data Applications., , , , , , , , and . ICPE, page 192-199. ACM, (2018)