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Configuring large-scale storage using a middleware with machine learning.

, , , , and . Concurr. Comput. Pract. Exp., 23 (17): 2063-2077 (2011)

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CloudDT: Efficient tape resource management using deduplication in cloud backup and archival services., , , , , , , and . CNSM, page 169-173. IEEE, (2012)DedupT: Deduplication for tape systems., , , , , , , and . MSST, page 1-11. IEEE Computer Society, (2014)Policy Generation Framework for Large-Scale Storage Infrastructures., , , , , and . POLICY, page 65-72. IEEE Computer Society, (2010)SWEEPER: An Efficient Disaster Recovery Point Identification Mechanism., , , and . FAST, page 297-312. USENIX, (2008)VLS: Simulated system management test infrastructure as a service., and . NOMS, page 906-909. IEEE, (2010)Context-Aware Data Loss Prevention for Cloud Storage Services., , , and . CLOUD, page 399-406. IEEE Computer Society, (2017)StackInsights: Cognitive Learning for Hybrid Cloud Readiness., , , , and . IEEE CLOUD, page 261-268. IEEE Computer Society, (2018)Towards a middleware for configuring large-scale storage infrastructures., , , , and . MGC@Middleware, page 3. ACM, (2009)Optimizing Hierarchical Classification with Adaptive Node Collapses., , , , and . AAAI Workshops, volume WS-18 of AAAI Technical Report, page 372-375. AAAI Press, (2018)IO Tetris: Deep Storage Consolidation for the Cloud via Fine-Grained Workload Analysis., , , , , , and . IEEE CLOUD, page 700-707. IEEE Computer Society, (2011)