Grand challenge: the bluebay soccer monitoring engine

Authors:
Hans-Arno Jacobsen;Kianoosh Mokhtarian;Tilmann Rabl;Mohammad Sadoghi;Reza Sherafat Kazemzadeh;Young Yoon;Kaiwen Zhang
Affiliations:
University of Toronto, Toronto, ON, Canada;University of Toronto, Toronto, ON, Canada;University of Toronto, Toronto, ON, Canada;IBM T.J. Watson Research Center, Yorktown Height, NY, USA;University of Toronto, Toronto, ON, Canada;University of Toronto, Toronto, ON, Canada;University of Toronto, Toronto, ON, Canada
Venue:
Proceedings of the 7th ACM international conference on Distributed event-based systems
Year:
2013

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Abstract

This paper presents the design and implementation of a custom-built event processing engine called BlueBay developed for live monitoring of soccer games. We experimentally evaluated our system using a real workload and report on its performance. Our results indicate that BlueBay achieves a throughput of up to 790k events per second, therefore processing the game's input sensor stream about 60 times faster than real-time. In addition to our custom implementation, we also investigated the applicability of off-the-shelf general-purpose event processing engines to address the soccer monitoring problem. This effort resulted in two additional and fully functional implementations based on Esper and Storm.