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Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing., , , , и . IC2E, стр. 58-66. IEEE, (2022)Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing., , , , и . IEEE Big Data, стр. 161-169. IEEE, (2022)Towards Advanced Monitoring for Scientific Workflows., , , , , , , и . IEEE Big Data, стр. 2709-2715. IEEE, (2022)SyncMesh: improving data locality for function-as-a-service in meshed edge networks., , , , , и . EdgeSys@EuroSys, стр. 55-60. ACM, (2022)Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs., , и . IEEE BigData, стр. 2851-2856. IEEE, (2020)Macaw: The Machine Learning Magnetometer Calibration Workflow., , , , и . ICDM (Workshops), стр. 1095-1101. IEEE, (2022)Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures., , , , , , , и . IPCCC, стр. 269-274. IEEE, (2022)Sizey: Memory-Efficient Execution of Scientific Workflow Tasks., , , , , , и . CoRR, (2024)How Workflow Engines Should Talk to Resource Managers: A Proposal for a Common Workflow Scheduling Interface., , , , и . CCGrid, стр. 166-179. IEEE, (2023)KS+: Predicting Workflow Task Memory Usage Over Time., , , , и . e-Science, стр. 1-7. IEEE, (2024)