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Techniques for modeling large-scale HPC I/O workloads., , , , , , , , , и . PMBS@SC, стр. 5:1-5:11. ACM, (2015)A Software-Defined Approach for QoS Control in High-Performance Computing Storage Systems., , , , , и . CoRR, (2018)SYMBIOMON: A High-Performance, Composable Monitoring Service., , , , , и . HiPC, стр. 332-342. IEEE, (2021)Toward Generalizable Models of I/O Throughput., , , , , , и . ROSS@SC, стр. 41-49. IEEE, (2020)The I/O Trace Initiative: Building a Collaborative I/O Archive to Advance HPC., , , , , , , и . SC Workshops, стр. 1216-1222. ACM, (2023)Keeping It Real: Why HPC Data Services Don't Achieve I/O Microbenchmark Performance., , , , и . PDSW@SC, стр. 1-6. IEEE, (2020)HPC I/O throughput bottleneck analysis with explainable local models., , , , , , и . SC, стр. 33. IEEE/ACM, (2020)Toward Understanding I/O Behavior in HPC Workflows., , , , , и . PDSW-DISCS@SC, стр. 64-75. IEEE, (2018)GraphTrek: Asynchronous Graph Traversal for Property Graph-Based Metadata Management., , , , , и . CLUSTER, стр. 284-293. IEEE Computer Society, (2015)24/7 Characterization of petascale I/O workloads., , , , , и . CLUSTER, стр. 1-10. IEEE Computer Society, (2009)