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ScaleCheck: A Single-Machine Approach for Discovering Scalability Bugs in Large Distributed Systems.

, , , , , , , and . FAST, page 359-373. USENIX Association, (2019)

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Towards Continually Learning Application Performance Models., , , , and . CoRR, (2023)LeapIO: Efficient and Portable Virtual NVMe Storage on ARM SoCs., , , , , , , , , and . ASPLOS, page 591-605. ACM, (2020)ASPLOS 2020 was canceled because of COVID-19..The Case for Limping-Hardware Tolerant Clouds., and . HotCloud, USENIX Association, (2013)EVStore: Storage and Caching Capabilities for Scaling Embedding Tables in Deep Recommendation Systems., , , , , , and . ASPLOS (2), page 281-294. ACM, (2023)Design Considerations and Analysis of Multi-Level Erasure Coding in Large-Scale Data Centers., , , , , , , , and . SC, page 47:1-47:13. ACM, (2023)SAMC: a fast model checker for finding heisenbugs in distributed systems (demo)., and . ISSTA, page 423-427. ACM, (2015)EIO: Error Handling is Occasionally Correct., , , , and . FAST, page 207-222. USENIX, (2008)PBSE: a robust path-based speculative execution for degraded-network tail tolerance in data-parallel frameworks., , , , , , , , , and . SoCC, page 295-308. ACM, (2017)Impact of Limpware on HDFS: A Probabilistic Estimation., and . CoRR, (2013)What Bugs Live in the Cloud? A Study of 3000+ Issues in Cloud Systems, , , , , , , , , and 1 other author(s). Proceedings of the 5th ACM Symposium on Cloud Computing, page 1--14. (November 2014)