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Exploiting Sharing Opportunities for Real-time Complex Event Analytics.

, , , , , , , and . IEEE Data Eng. Bull., 38 (4): 82-93 (2015)

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GRETA: Graph-based Real-time Event Trend Aggregation., , , and . CoRR, (2020)To Share, or not to Share Online Event Trend Aggregation Over Bursty Event Streams., , , , and . SIGMOD Conference, page 1452-1464. ACM, (2021)Context-Aware Event Stream Analytics., , , and . EDBT, page 413-424. OpenProceedings.org, (2016)Exploiting Sharing Opportunities for Real-time Complex Event Analytics., , , , , , , and . IEEE Data Eng. Bull., 38 (4): 82-93 (2015)Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation., , , , , , , , , and 16 other author(s). Proc. VLDB Endow., 14 (2): 154-162 (2020)Towards Building Autonomous Data Services on Azure., , , , , , , , , and 28 other author(s). SIGMOD Conference Companion, page 217-224. ACM, (2023)Gloria: Graph-based Sharing Optimizer for Event Trend Aggregation., , , and . SIGMOD Conference, page 1122-1135. ACM, (2022)Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML., , , , , , , , , and 12 other author(s). CIDR, www.cidrdb.org, (2020)Complete Event Trend Detection in High-Rate Event Streams., , , and . SIGMOD Conference, page 109-124. ACM, (2017)GRETA: Graph-based Real-time Event Trend Aggregation., , , and . Proc. VLDB Endow., 11 (1): 80-92 (2017)