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RIP: run-based intra-query parallelism for scalable complex event processing.

, , , and . DEBS, page 3-14. ACM, (2013)

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Stream as You Go: The Case for Incremental Data Access and Processing in the Cloud., , , and . ICDE Workshops, page 159-166. IEEE Computer Society, (2012)Window-Aware Load Shedding for Aggregation Queries over Data Streams., and . VLDB, page 799-810. ACM, (2006)Federated Stream Processing Support for Real-Time Business Intelligence Applications., , , , , , and . BIRTE, volume 41 of Lecture Notes in Business Information Processing, page 14-31. Springer, (2009)The Three Pillars of Machine-Based Programming., , , , , , , , and . CoRR, (2018)Report on the 8th International Workshop on Business Intelligence for the Real-Time Enterprise (BIRTE'14)., , , , and . SIGMOD Record, 44 (3): 62-63 (2015)Load Shedding.. Encyclopedia of Database Systems (2nd ed.), Springer, (2018)Tools for Advanced Time Series Analytics: Enabling the Future.. CIDR, www.cidrdb.org, (2019)Confidence-based data management for personal area sensor networks., , , , and . DMSN, volume 72 of ACM International Conference Proceeding Series, page 24-31. ACM, (2004)A Workflow System through Cooperating Agents for Control and Document Flow over the Internet., , , , , , , and . CoopIS, volume 1901 of Lecture Notes in Computer Science, page 138-143. Springer, (2000)Adaptive input admission and management for parallel stream processing., , and . DEBS, page 15-26. ACM, (2013)