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http://hdl.handle.net/1942/46128
Title: | CORE+: A Complex Event Recognition Engine in C++ | Authors: | Bossonney, Kyle Buzeta, Nicolás Calisto, Vincente López, Juan-Eduardo Riveros, Cristian VANSUMMEREN, Stijn |
Issue Date: | 2025 | Publisher: | ACM | Source: | Companion of the 2025 International Conference on Management of Data (SIGMOD-Companion ’25), June 22–27, 2025, Berlin, Germany, ACM, | Status: | In press | Abstract: | Complex Event Recognition (CER) refers to the activity of analyzing streams of continuously arriving event data, to recognize collections of events that satisfy user-defined patterns. CER is known to be computationally challenging, since it requires maintaining a set of partial matches, and this set quickly grows super-linearly in the number of processed events. In this paper we demonstrate CORE+, a mature COmplex event Recognition Engine that circumvents the super-linear partial match problem. CORE+ is based on a research prototype named CORE; we demonstrate the new features and capabilities that make CORE+ a release version of CORE. | Keywords: | Data streaming;complex event recognition | Document URI: | http://hdl.handle.net/1942/46128 | ISBN: | 9798400715648 | DOI: | 10.1145/3722212.3725090 | Category: | C1 | Type: | Proceedings Paper |
Appears in Collections: | Research publications |
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