Distributed Complex Event Processing Applied to Event Traffic Detection in Real-time

• Fernando Freire Scattone USP http://orcid.org/0000-0003-4264-3779
• Kelly Rosa Braghetto USP https://orcid.org/0000-0001-6218-6849

DOI: https://doi.org/10.5753/eradsp.2020.16890

Abstract

Complex Event Processing is one of the most used techniques to process real-time data. CEP allows detection of events of interest from pattern recognition in input data. Here we present an implementation of a self-scalable microservice architecture for Complex Event Processing, capable of handling a large influx of data, such as ones generated by smart cities sensor measurements. A study case based on the detection of traffic problems of the São Paulo bus fleet was designed to evaluate this architecture.

Keywords: Smart Cities, Cloud Native Processing, Complex Event Processing

References

de M. Del Esposte, A., Kon, F., Costa, F. M., and Lago, N. (2017). InterSCity: A scalable microservice-based open source platform for smart cities. In Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems.

Etzion, O. and Niblett, P. (2010). Event Processing in Action. Manning Publications Co., Greenwich, CT, USA, 1st edition.

Freire Scattone, F. and Rosa Braghetto, K. (2018). A microservices architecture for distributed complex event processing in smart cities. In 2018 IEEE 37th International Symposium on Reliable Distributed Systems Workshops (SRDSW), pages 6–9.

Luckham, D. C. (2001).The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems. Addison-Wesley Longman Publishing Co., Inc., Boston, MA, USA.

Truyen, E., Landuyt, D. V., Preuveneers, D., Lagaisse, B., and Joosen, W. (2019). Acomprehensive feature comparison study of open-source container orchestration frameworks. Applied Sciences, 9(5):931.