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Fluid Petri Nets for the Performance Evaluation of MapReduce and Spark Applications.

, , , , and . SIGMETRICS Performance Evaluation Review, 44 (4): 23-36 (2017)

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Performance Prediction of GPU-based Deep Learning Applications., , and . CLOSER, page 279-286. SciTePress, (2019)An optimization framework for the capacity allocation and admission control of MapReduce jobs in cloud systems., , , , , and . The Journal of Supercomputing, 74 (10): 5314-5348 (2018)D-SPACE4Cloud: A Design Tool for Big Data Applications., , and . ICA3PP, volume 10048 of Lecture Notes in Computer Science, page 614-629. Springer, (2016)Performance Prediction of Cloud-Based Big Data Applications., , , , , , , , and . ICPE, page 192-199. ACM, (2018)Capacity Allocation for Big Data Applications in the Cloud., , and . ICPE Companion, page 175-176. ACM, (2017)Gray-Box Models for Performance Assessment of Spark Applications., , , , , , , and . CLOSER, page 609-618. SciTePress, (2019)A Game-Theoretic Approach for Runtime Capacity Allocation in MapReduce., , , and . CCGrid, page 1080-1089. IEEE Computer Society / ACM, (2017)Performance Prediction of GPU-Based Deep Learning Applications., , and . SBAC-PAD, page 167-170. IEEE, (2018)Analytical composite performance models for Big Data applications., , , , and . J. Network and Computer Applications, (2019)Machine Learning for Performance Prediction of Spark Cloud Applications., , , , , , , and . CLOUD, page 99-106. IEEE, (2019)