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Scaling XML query processing: distribution, localization and pruning.

, , and . Distributed Parallel Databases, 29 (5-6): 445-490 (2011)

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Scaling XML query processing: distribution, localization and pruning., , and . Distributed Parallel Databases, 29 (5-6): 445-490 (2011)Research challenges in deep reinforcement learning-based join query optimization., and . aiDM@SIGMOD, page 3:1-3:6. ACM, (2020)The future is big graphs: a community view on graph processing systems., , , , , , , , , and 31 other author(s). Commun. ACM, 64 (9): 62-71 (2021)HDRF: Stream-Based Partitioning for Power-Law Graphs., , , , and . CIKM, page 243-252. ACM, (2015)ChronoCache: Predictive and Adaptive Mid-Tier Query Result Caching., , , and . SIGMOD Conference, page 2391-2406. ACM, (2020)A Performance Comparison of Algorithms for Byzantine Agreement in Distributed Systems., and . EDCC, page 249-260. IEEE Computer Society, (2016)An Easy-to-use Scalable Framework for Parallel Recursive Backtracking., , , and . CoRR, (2013)On the online fault-tolerant server consolidation problem., , and . SPAA, page 12-21. ACM, (2014)Ray tracing in the cloud using MapReduce., , , and . HPCS, page 19-26. IEEE, (2013)ConfluxDB: Multi-Master Replication for Partitioned Snapshot Isolation Databases., , and . Proc. VLDB Endow., 7 (11): 947-958 (2014)