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research-article

DLACEP: A Deep-Learning Based Framework for Approximate Complex Event Processing

Authors:

Ilya Kolchinsky,

Assaf SchusterAuthors Info & Claims

SIGMOD '22: Proceedings of the 2022 International Conference on Management of Data

Pages 340 - 354

https://doi.org/10.1145/3514221.3526136

Published: 11 June 2022 Publication History

Abstract

Complex event processing (CEP) is employed to detect user-specified patterns of events in data streams. CEP mechanisms operate by maintaining all sets of events that can potentially be composed into a pattern match. This approach can be wasteful when many of the sets do not participate in an actual match and are therefore discarded.

We present DLACEP, a novel framework that fuses deep learning with CEP to efficiently extract complex pattern matches from streams. To the best of our knowledge, this is the first time deep learning is employed to detect events constituting a pattern match in the realm of CEP. To assess our approach, we performed extensive empirical testing on various scenarios with both real-world and synthetic data. We showcase examples in which our method achieves an increase in throughput of up to three orders of magnitude compared to solely employing CEP, while only suffering a minor loss in the number of detected matches.

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Cited By

Qiu TJiang SYang XWang BZong CZhu R(2024)An Efficient Algorithm for Continuous Complex Event Matching Using Bit-Parallelism2024 IEEE 40th International Conference on Data Engineering (ICDE)10.1109/ICDE60146.2024.00037(396-408)Online publication date: 13-May-2024
https://doi.org/10.1109/ICDE60146.2024.00037
Yemson RKabir SThakker DKonur S(2023)Ontology Development for Detecting Complex Events in Stream Processing: Use Case of Air Quality MonitoringComputers10.3390/computers1211023812:11(238)Online publication date: 16-Nov-2023
https://doi.org/10.3390/computers12110238

Index Terms

DLACEP: A Deep-Learning Based Framework for Approximate Complex Event Processing
1. Information systems
  1. Information retrieval
    1. Evaluation of retrieval results
      1. Retrieval efficiency

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cover image ACM Conferences

SIGMOD '22: Proceedings of the 2022 International Conference on Management of Data

June 2022

2597 pages

ISBN:9781450392495

DOI:10.1145/3514221

General Chair:
Zachary Ives
University of Pennsylvania (USA)
,
Program Chairs:
Angela Bonifati
Lyon 1 University (France)
,
Amr El Abbadi
University of California, Santa Barbara (USA)

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Cited By

Qiu TJiang SYang XWang BZong CZhu R(2024)An Efficient Algorithm for Continuous Complex Event Matching Using Bit-Parallelism2024 IEEE 40th International Conference on Data Engineering (ICDE)10.1109/ICDE60146.2024.00037(396-408)Online publication date: 13-May-2024
https://doi.org/10.1109/ICDE60146.2024.00037
Yemson RKabir SThakker DKonur S(2023)Ontology Development for Detecting Complex Events in Stream Processing: Use Case of Air Quality MonitoringComputers10.3390/computers1211023812:11(238)Online publication date: 16-Nov-2023
https://doi.org/10.3390/computers12110238

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