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Making mapreduce scheduling effective in erasure-coded storage clusters.

, and . LANMAN, page 1-6. IEEE, (2015)

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Relieving Both Storage and Recovery Burdens in Big Data Clusters with R-STAIR Codes., , and . IEEE Internet Comput., 22 (4): 15-26 (2018)Enabling Efficient and Reliable Transition from Replication to Erasure Coding for Clustered File Systems., , and . IEEE Trans. Parallel Distributed Syst., 28 (9): 2500-2513 (2017)Repair Pipelining for Erasure-Coded Storage: Algorithms and Evaluation., , , , , , and . CoRR, (2019)Enabling Concurrent Failure Recovery for Regenerating-Coding-Based Storage Systems: From Theory to Practice., , and . IEEE Trans. Computers, 64 (7): 1898-1911 (2015)A Hybrid Approach to Failed Disk Recovery Using RAID-6 Codes: Algorithms and Performance Evaluation., , , , , and . ACM Trans. Storage, 7 (3): 11:1-11:34 (2011)Single Disk Failure Recovery forX-Code-Based Parallel Storage Systems., , , , , , and . IEEE Trans. Computers, 63 (4): 995-1007 (2014)Repair Pipelining for Erasure-Coded Storage., , , and . USENIX Annual Technical Conference, page 567-579. USENIX Association, (2017)OpenEC: Toward Unified and Configurable Erasure Coding Management in Distributed Storage Systems., , , and . FAST, page 331-344. USENIX Association, (2019)Degraded-First Scheduling for MapReduce in Erasure-Coded Storage Clusters., , and . DSN, page 419-430. IEEE Computer Society, (2014)Repair Pipelining for Erasure-coded Storage: Algorithms and Evaluation., , , , , , and . ACM Trans. Storage, 17 (2): 13:1-13:29 (2021)