Event processing of monitoring data of large hi-tech manufacturing equipment: DEBS grand challenge

  • Authors:
  • Kangheng Wu;Xiaokang Xiong;Bert W. Leung;Jihyoun Park;Zhibin Lei

  • Affiliations:
  • Hong Kong Applied Science and Technology Research Institute, Shatin, Hong Kong;Hong Kong Applied Science and Technology Research Institute, Shatin, Hong Kong;Hong Kong Applied Science and Technology Research Institute, Shatin, Hong Kong;The Chinese University of Hong Kong, Shatin, N. T., Hong Kong;Hong Kong Applied Science and Technology Research Institute, Shatin, Hong Kong

  • Venue:
  • Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems
  • Year:
  • 2012

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Abstract

The subject of DEBS 2012 Grand Challenge is to implement an automatic event-monitoring system that traces the state of Chem Additive sensors and their associated valves and records the energy consumption of the manufacturing equipment. As solutions for the problem, we compare three different approaches. The first one is a custom solution using optimal technologies, such as lock-free queue and minimum heap-list. The second one is a rule-based solution using JBoss Drools Expert. The third one is a CEP-enhanced rule-based solution using JBoss Drools Fusion. After evaluating the event processing performance among these three implementation methods in terms of throughput and latency, we finally conclude this paper with the discussion of implications of our solution methods including non-performance factors.