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TPS: A task placement strategy for big data workflows.

, , , and . IEEE BigData, page 523-530. IEEE Computer Society, (2015)

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TPS: A task placement strategy for big data workflows., , , and . IEEE BigData, page 523-530. IEEE Computer Society, (2015)Energy-Efficient GPU-Intensive Workload Scheduling for Data Centers., , , , and . ICMLA, page 1735-1740. IEEE, (2023)BDAP: A Big Data Placement Strategy for Cloud-Based Scientific Workflows., , , and . BigDataService, page 105-114. IEEE Computer Society, (2015)Scheduling big data workflows in the cloud under budget constraints., , , and . IEEE BigData, page 2775-2784. IEEE Computer Society, (2016)Scheduling Big Data Workflows in the Cloud under Deadline Constraints., , and . BigDataService, page 33-40. IEEE Computer Society, (2018)Machine Learning-Based Energy-efficient Workload Management for Data Centers., , , , and . CCNC, page 799-802. IEEE, (2024)iCATS: Scheduling Big Data Workflows in the Cloud Using Cultural Algorithms., , , and . BigDataService, page 99-106. IEEE, (2019)A NoSQL Data Model for Scalable Big Data Workflow Execution., , , and . BigData Congress, page 52-59. IEEE Computer Society, (2016)Application of neural networks methods to define the most important features contributing to xylanase enzyme thermostability., , , , and . IEEE Congress on Evolutionary Computation, page 2885-2891. IEEE, (2009)New layers in understanding and predicting α-linolenic acid content in plants using amino acid characteristics of omega-3 fatty acid desaturase., , , , , , and . Comput. Biol. Medicine, (2014)