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Addressing data resiliency for staging based scientific workflows., , , и . SC, стр. 87:1-87:22. ACM, (2019)Leveraging Machine Learning for Anticipatory Data Delivery in Extreme Scale In-situ Workflows., , и . CLUSTER, стр. 1-11. IEEE, (2019)Facilitating Staging-based Unstructured Mesh Processing to Support Hybrid In-Situ Workflows., , , , и . IPDPS Workshops, стр. 960-964. IEEE, (2021)An Adaptive Elasticity Policy For Staging Based In-Situ Processing., , , , и . WORKS, стр. 33-41. IEEE, (2021)DIRS: Dynamic Initial Rate Setting in Congestion Control for Disaggregated Storage Systems., , , , , , , , и . ICNC, стр. 689-693. IEEE, (2023)Exploring Power Budget Scheduling Opportunities and Tradeoffs for AMR-Based Applications., , , , и . SBAC-PAD, стр. 57-64. IEEE, (2018)RISE: Reducing I/O Contention in Staging-based Extreme-Scale In-situ Workflows., , и . CLUSTER, стр. 146-156. IEEE, (2021)FlexECC: Partially Relaxing ECC of MLC SSD for Better Cache Performance., , , , и . USENIX ATC, стр. 489-500. USENIX Association, (2014)Benesh: a Programming Model for Coupled Scientific Workflows., , , , , и . ESPM2@SC, стр. 1-9. IEEE, (2020)A hybrid erasure-coded ECC scheme to improve performance and reliability of solid state drives., , , , и . IPCCC, стр. 1-8. IEEE Computer Society, (2014)