Home // ALLDATA 2023, The Ninth International Conference on Big Data, Small Data, Linked Data and Open Data // View article
Seeking Higher Performance in Real-Time Data Processing through Complex Event Processing
Authors:
Guadalupe Ortiz
Adrián Bazan-Muñoz
Pablo Caballero-Torres
Jesús Rosa-Bilbao
Inmaculada Medina-Bulo
Juan Boubeta-Puig Boubeta-Puig
Alfonso García-de-Prado
Keywords: Complex Event Processing; Event-driven Service-oriented Architecture; Internet of Things; Data Processing.
Abstract:
Today, data processing has become a key functionality of multiple diverse applications. Large amounts of data from disparate sources must be processed in streaming in order to have real-time knowledge of the domain in question and thus be able to make the most appropriate decisions at each instant of time. This streaming processing has been successfully achieved by introducing Complex Event Processing (CEP) techniques into the solutions provided. Although these solutions have proven their effectiveness in various software architectures and application domains, there is still a need for further research on how to achieve better performance depending on the needs of the application. This paper attempts to shed some light in this area by comparing various configurations of a CEP engine, aiming for better performance in real-time data processing
Pages: 29 to 34
Copyright: Copyright (c) IARIA, 2023
Publication date: April 24, 2023
Published in: conference
ISSN: 2519-8386
ISBN: 978-1-68558-041-4
Location: Venice, Italy
Dates: from April 24, 2023 to April 28, 2023