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Extreme Protection Against Data Loss with Single-Overlap Declustered Parity., , , , , , , , and . DSN, page 343-354. IEEE, (2020)Towards Latency-Aware Data Acquisition in Wireless Sensor Network., , and . MCSoC, page 82-87. IEEE Computer Society, (2014)PBSE: a robust path-based speculative execution for degraded-network tail tolerance in data-parallel frameworks., , , , , , , , , and . SoCC, page 295-308. ACM, (2017)Crowdsourcing on mobile cloud: Cost minimization of joint data acquisition and processing., , and . INFOCOM Workshops, page 358-362. IEEE, (2014)FlyMC: Highly Scalable Testing of Complex Interleavings in Distributed Systems., , , , , , , , , and 3 other author(s). EuroSys, page 20:1-20:16. ACM, (2019)Aggregation on the fly: reducing traffic for big data in the cloud., , , and . IEEE Netw., 29 (5): 17-23 (2015)Scalability Bugs: When 100-Node Testing is Not Enough., , , , , and . HotOS, page 24-29. ACM, (2017)IASO: A Fail-Slow Detection and Mitigation Framework for Distributed Storage Services., , , , , and . USENIX Annual Technical Conference, page 47-62. USENIX Association, (2019)On Traffic-Aware Partition and Aggregation in MapReduce for Big Data Applications., , , and . IEEE Trans. Parallel Distributed Syst., 27 (3): 818-828 (2016)ScaleCheck: A Single-Machine Approach for Discovering Scalability Bugs in Large Distributed Systems., , , , , , , and . FAST, page 359-373. USENIX Association, (2019)