RT journal article
T1 Facilitating the Quantitative Analysis ofComplexEvents through a Computational Intelligence Model-Driven Tool
A1 Díaz, Gregorio
A1 Macià, Hermenegilda
A1 Valero, Valentín
A1 Boubeta Puig, Juan
A1 Ortiz Bellot, Guadalupe
A2 Ingeniería Informática
AB Complex event processing (CEP) is a computational intelligence technology capable of analyzing big data streams for eventpattern recognition in real time. In particular, this technology is vastly useful for analyzing multicriteria conditions in a pattern,which will trigger alerts (complex events) upon their fulfillment. However, one of the main challenges to be faced by CEP is how todefine the quantitative analysis to be performed in response to the produced complex events. In this paper, we propose the use ofthe MEdit4CEP-CPN model-driven tool as a solution for conducting such quantitative analysis of events of interest for anapplication domain, without requiring knowledge of any scientific programming language for implementing the patternconditions. Precisely, MEdit4CEP-CPN facilitates domain experts to graphically model event patterns, transform them into aPrioritized Colored Petri Net (PCPN) model, modify its initial marking depending on the application scenario, and make thequantitative analysis through the simulation and monitor capabilities provided by CPN tools.
PB HINDAWI LTD
SN 1058-9244
YR 2019
FD 2019-07
LK http://hdl.handle.net/10498/21721
UL http://hdl.handle.net/10498/21721
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 14-nov-2026