Grand challenge: The BlueBay soccer monitoring engine

Hans Arno Jacobsen, Kianoosh Mokhtarian, Tilmann Rabl, Mohammad Sadoghi, Reza Sherafat Kazemzadeh, Young Yoon, Kaiwen Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

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.

Original languageEnglish
Title of host publicationDEBS 2013 - Proceedings of the 7th ACM International Conference on Distributed Event-Based Systems
Pages295-300
Number of pages6
DOIs
StatePublished - 2013
Externally publishedYes
Event7th ACM International Conference on Distributed Event-Based Systems, DEBS 2013 - Arlington, TX, United States
Duration: 29 Jun 20133 Jul 2013

Publication series

NameDEBS 2013 - Proceedings of the 7th ACM International Conference on Distributed Event-Based Systems

Conference

Conference7th ACM International Conference on Distributed Event-Based Systems, DEBS 2013
Country/TerritoryUnited States
CityArlington, TX
Period29/06/133/07/13

Keywords

  • BlueBay
  • DEBS grand challenge
  • Event processing

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