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Runtime Performance Prediction of Big Data Workflows with I/O-aware Simulation., , and . VALUETOOLS, page 74-81. ACM, (2017)Simulation of Runtime Performance of Big Data Workflows on the Cloud., , and . EPEW, volume 9951 of Lecture Notes in Computer Science, page 141-155. Springer, (2016)Automatic Software Deployment in the Azure Cloud., and . DAIS, volume 6115 of Lecture Notes in Computer Science, page 155-168. (2010)Scaling Whole Exome sequencing using workflows on the cloud., and . SEBD, page 201-208. (2014)Provenance Annotation and Analysis to Support Process Re-computation., and . IPAW, volume 11017 of Lecture Notes in Computer Science, page 3-15. Springer, (2018)Towards Automated Workflow Deployment in the Cloud Using TOSCA., , and . CLOUD, page 1037-1040. IEEE Computer Society, (2015)From Scripted HPC-Based NGS Pipelines to Workflows on the Cloud., , , and . CCGRID, page 694-700. IEEE Computer Society, (2014)Efficient Re-Computation of Big Data Analytics Processes in the Presence of Changes: Computational Framework, Reference Architecture, and Applications., and . BigData Congress, page 24-34. IEEE, (2019)Dynamic Deployment of Scientific Workflows in the Cloud Using Container Virtualization., , and . CloudCom, page 269-276. IEEE Computer Society, (2016)The Practical Experiences with Deployment of Advanced Medical Teleconsultation System over Public IT Infrastructure., , , and . CBMS, page 349-354. IEEE Computer Society, (2008)