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Fingerprinting Analog IoT Sensors for Secret-Free Authentication., , , , , , , и . ICCCN, стр. 1-6. IEEE, (2020)Mary, Hugo, and Hugo*: Learning to schedule distributed data-parallel processing jobs on shared clusters., , , , и . Concurr. Comput. Pract. Exp., (2021)LEAF: Simulating Large Energy-Aware Fog Computing Environments., и . ICFEC, стр. 29-36. IEEE, (2021)Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts., , , , , , и . CLUSTER, стр. 261-270. IEEE, (2021)LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks., , , , и . ACSOS, стр. 41-50. IEEE, (2021)Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters., , , , , и . IEEE BigData, стр. 65-75. IEEE, (2021)Ponder: Online Prediction of Task Memory Requirements for Scientific Workflows., , , , , , , и . CoRR, (2024)CoBell: Runtime Prediction for Distributed Dataflow Jobs in Shared Clusters., , , и . CloudCom, стр. 81-88. IEEE Computer Society, (2018)Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures., , , , , , , и . IPCCC, стр. 269-274. IEEE, (2022)Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs., , , , , , , и . Euro-Par Workshops, том 11997 из Lecture Notes in Computer Science, стр. 519-530. Springer, (2019)