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Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters.

, , , , , and . IEEE BigData, page 65-75. IEEE, (2021)

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How Workflow Engines Should Talk to Resource Managers: A Proposal for a Common Workflow Scheduling Interface., , , , and . CCGrid, page 166-179. IEEE, (2023)Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing., , , , and . IC2E, page 58-66. IEEE, (2022)Towards Advanced Monitoring for Scientific Workflows., , , , , , , and . IEEE Big Data, page 2709-2715. IEEE, (2022)Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing., , , , and . IEEE Big Data, page 161-169. IEEE, (2022)Macaw: The Machine Learning Magnetometer Calibration Workflow., , , , and . ICDM (Workshops), page 1095-1101. IEEE, (2022)Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures., , , , , , , and . IPCCC, page 269-274. IEEE, (2022)Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs., , and . IEEE BigData, page 2851-2856. IEEE, (2020)SyncMesh: improving data locality for function-as-a-service in meshed edge networks., , , , , and . EdgeSys@EuroSys, page 55-60. ACM, (2022)Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters., , , , , and . IEEE BigData, page 65-75. IEEE, (2021)Leveraging Reinforcement Learning for Task Resource Allocation in Scientific Workflows., , , and . IEEE Big Data, page 3714-3719. IEEE, (2022)