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A Machine Learning Framework to Improve Storage System Performance.

, , , , и . HotStorage, стр. 94-102. ACM / USENIX Association, (2021)

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Zadok Strauss

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Другие публикации лиц с тем же именем

Rapid file system development using ptrace., , , и . Experimental Computer Science, стр. 22. ACM, (2007)Introduction to the Special Issue on USENIX FAST 2015., и . ACM Trans. Storage, 11 (4): 15:1 (2015)Versatility and Unix semantics in namespace unification., , , , , , и . ACM Trans. Storage, 2 (1): 74-105 (2006)A nine year study of file system and storage benchmarking., , , и . ACM Trans. Storage, 4 (2): 5:1-5:56 (2008)Kurma: secure geo-distributed multi-cloud storage gateways., и . SYSTOR, стр. 109-120. ACM, (2019)Supporting Transactions for Bulk NFSv4 Compounds., , , и . SYSTOR, стр. 75-86. ACM, (2020)Visual Correlation Analysis of Numerical and Categorical Data on the Correlation Map., , , и . IEEE Trans. Vis. Comput. Graph., 21 (2): 289-303 (2015)KML: Using Machine Learning to Improve Storage Systems., , , , , , , и . CoRR, (2021)Extending File Systems Using Stackable Templates., , и . USENIX Annual Technical Conference, General Track, стр. 57-70. USENIX, (1999)vNFS: Maximizing NFS Performance with Compounds and Vectorized I/O., , , , , и . FAST, стр. 301-314. USENIX Association, (2017)