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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)

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Large Scale Studies of Memory, Storage, and Network Failures in a Modern Data Center.. CoRR, (2019)A Large Scale Study of Data Center Network Reliability., , , and . Internet Measurement Conference, page 393-407. ACM, (2018)A Large-Scale Study of Flash Memory Failures in the Field., , , and . SIGMETRICS, page 177-190. ACM, (2015)Defcon: Preventing Overload with Graceful Feature Degradation., , , , , , , , , and 8 other author(s). OSDI, page 607-622. USENIX Association, (2023)Energy Efficiency: The New Holy Grail of Data Management Systems Research., , , and . CIDR, www.cidrdb.org, (2009)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)Efficient Data Mapping and Buffering Techniques for Multilevel Cell Phase-Change Memories., , , , and . ACM Trans. Archit. Code Optim., 11 (4): 40:1-40:25 (2014)Evaluating Row Buffer Locality in Future Non-Volatile Main Memories., , and . CoRR, (2018)Mix, Match, Rediscovery: A Mashup Experiment of Knowledge Organization in an Enterprise Environment., and . IJEIS, 5 (2): 37-48 (2009)Gorilla: A Fast, Scalable, In-Memory Time Series Database., , , , , , and . Proc. VLDB Endow., 8 (12): 1816-1827 (2015)