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Characterizing Application Memory Error Vulnerability to Optimize Datacenter Cost via Heterogeneous-Reliability Memory.

, , , , , , , , , and . DSN, page 467-478. IEEE Computer Society, (2014)

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Large Scale Studies of Memory, Storage, and Network Failures in a Modern Data Center.. CoRR, (2019)Energy Efficiency: The New Holy Grail of Data Management Systems Research, , , and . CoRR, (2009)A Large-Scale Study of Flash Memory Failures in the Field., , , and . SIGMETRICS, page 177-190. ACM, (2015)Kraken: Leveraging Live Traffic Tests to Identify and Resolve Resource Utilization Bottlenecks in Large Scale Web Services., , , , , , , , , and . OSDI, page 635-651. USENIX Association, (2016)Revisiting Memory Errors in Large-Scale Production Data Centers: Analysis and Modeling of New Trends from the Field., , , and . DSN, page 415-426. IEEE Computer Society, (2015)A Large Scale Study of Data Center Network Reliability., , , and . IMC, page 393-407. ACM, (2018)Efficient Data Mapping and Buffering Techniques for Multilevel Cell Phase-Change Memories., , , , and . TACO, 11 (4): 40:1-40:25 (2014)Evaluating Row Buffer Locality in Future Non-Volatile Main Memories., , and . CoRR, (2018)Models and Metrics to Enable Energy-Efficiency Optimizations., , , , and . IEEE Computer, 40 (12): 39-48 (2007)Dynamo: Facebook's Data Center-Wide Power Management System., , , , , , , , and . ISCA, page 469-480. IEEE Computer Society, (2016)