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Solving manufacturing equipment monitoring through efficient complex event processing: DEBS grand challenge

Published: 16 July 2012 Publication History

Abstract

In this paper, we present an efficient complex event processing system tailored toward monitoring a large-scale setup of manufacturing equipment. In particular, the key challenge in the equipment monitoring is to develop an event-based system for computing complex manufacturing queries coupled with event notifications and event and query result visualization components. Furthermore, we present an experimental evaluation to validate the effectiveness of the proposed solution with respect to both query latency and throughput.

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Cited By

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  • (2016)A semantic preserving CEP based approach for business data processing2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)10.1109/FSKD.2016.7603453(1808-1815)Online publication date: Aug-2016
  • (2015)RDF stream processing with CQELS framework for real-time analysisProceedings of the 9th ACM International Conference on Distributed Event-Based Systems10.1145/2675743.2772586(285-292)Online publication date: 24-Jun-2015
  • (2015)Continuous analytics on geospatial data streams with WSO2 complex event processorProceedings of the 9th ACM International Conference on Distributed Event-Based Systems10.1145/2675743.2772585(277-284)Online publication date: 24-Jun-2015
  • Show More Cited By

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  1. Solving manufacturing equipment monitoring through efficient complex event processing: DEBS grand challenge

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      cover image ACM Conferences
      DEBS '12: Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems
      July 2012
      410 pages
      ISBN:9781450313155
      DOI:10.1145/2335484
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 16 July 2012

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      Author Tags

      1. DEBS grand challenge
      2. complex event processing
      3. event processing architecture
      4. event storage
      5. publish/subscribe

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      View all
      • (2016)A semantic preserving CEP based approach for business data processing2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)10.1109/FSKD.2016.7603453(1808-1815)Online publication date: Aug-2016
      • (2015)RDF stream processing with CQELS framework for real-time analysisProceedings of the 9th ACM International Conference on Distributed Event-Based Systems10.1145/2675743.2772586(285-292)Online publication date: 24-Jun-2015
      • (2015)Continuous analytics on geospatial data streams with WSO2 complex event processorProceedings of the 9th ACM International Conference on Distributed Event-Based Systems10.1145/2675743.2772585(277-284)Online publication date: 24-Jun-2015
      • (2015)An IoT Application for Fault Diagnosis and PredictionProceedings of the 2015 IEEE International Conference on Data Science and Data Intensive Systems (DSDIS)10.1109/DSDIS.2015.97(726-731)Online publication date: 11-Dec-2015

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