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FERARI: A Prototype for Complex Event Processing over Streaming Multi-cloud Platforms

Published: 26 June 2016 Publication History

Abstract

In this demo, we present FERARI, a prototype that enables real-time Complex Event Processing (CEP) for large volume event data streams over distributed topologies. Our prototype constitutes, to our knowledge, the first complete, multi-cloud based end-to-end CEP solution incorporating: a) a user-friendly, web-based query authoring tool, (b) a powerful CEP engine implemented on top of a streaming cloud platform, (c) a CEP optimizer that chooses the best query execution plan with respect to low latency and/or reduced inter-cloud communication burden, and (d) a query analytics dashboard encompassing graph and map visualization tools to provide a holistic picture with respect to the detected complex events to final stakeholders. As a proof-of-concept, we apply FERARI to enable mobile fraud detection over real, properly anonymized, telecommunication data from T-Hrvatski Telekom network in Croatia.

References

[1]
Apache Storm project homepage. http://storm.apache.org/.
[2]
Flexible event pRocessing for big dAta aRchItectures. the FERARI project. http://www.ferari-project.eu/.
[3]
IBM Proactive Technology Online on STORM. https://github.com/ishkin/Proton.
[4]
Storm-Esper. https://github.com/tomdz/storm-esper.
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J. Agrawal, Y. Diao, D. Gyllstrom, and N. Immerman. Efficient pattern matching over event streams. In SIGMOD, June 2008.
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M. Akdere, U. Çetintemel, and N. Tatbul. Plan-based complex event detection across distributed sources. In PVLDB, 2008.
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S. Bothe, V. Manikaki, A. Deligiannakis, and M. Mock. Towards flexible event processing in distributed data streams. In Proc. of the Workshops of the EDBT/ICDT, 2015.
[8]
O. Etzion and P. Niblett. Event Processing in Action. Manning Publications Company, 2010.
[9]
C. Moxey, M. Edwards, O. Etzion, M. Ibrahim, S. Iyer, H. Lalanne, M. Monze, M. Peters, Y. Rabinovich, G. Sharon, and K. Stewart. A Conceptual Model for Event Processing Systems. IBM Redguide publication, 2010.

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  • (2022)A visual programming framework for distributed Internet of Things centric complex event processingComputers and Electrical Engineering10.1016/j.compeleceng.2018.02.00774:C(581-604)Online publication date: 18-Apr-2022
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cover image ACM Conferences
SIGMOD '16: Proceedings of the 2016 International Conference on Management of Data
June 2016
2300 pages
ISBN:9781450335317
DOI:10.1145/2882903
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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 June 2016

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  1. Multi-cloud Platforms

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  • Research-article

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  • European Union - Seventh Framework Programme

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SIGMOD/PODS'16
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SIGMOD/PODS'16: International Conference on Management of Data
June 26 - July 1, 2016
California, San Francisco, USA

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Overall Acceptance Rate 785 of 4,003 submissions, 20%

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Cited By

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  • (2024) Rule based complex event processing for IoT applications: Review, classification and challenges Expert Systems10.1111/exsy.13597Online publication date: 30-Mar-2024
  • (2022)Network-wide complex event processing over geographically distributed data sourcesInformation Systems10.1016/j.is.2019.10144288:COnline publication date: 21-Apr-2022
  • (2022)A visual programming framework for distributed Internet of Things centric complex event processingComputers and Electrical Engineering10.1016/j.compeleceng.2018.02.00774:C(581-604)Online publication date: 18-Apr-2022
  • (2022)Designing Monitoring Systems for Complex Event Processing in Big Data ContextsInformation Systems10.1007/978-3-030-95947-0_2(17-30)Online publication date: 16-Feb-2022
  • (2021)Event-Driven Business Process Management Enhancing IoT – A Systematic Literature Review and Development of Research AgendaInnovation Through Information Systems10.1007/978-3-030-86800-0_44(645-661)Online publication date: 29-Oct-2021
  • (2020)Multi-Cloud: A Comprehensive Review2020 IEEE 23rd International Multitopic Conference (INMIC)10.1109/INMIC50486.2020.9318176(1-5)Online publication date: 5-Nov-2020
  • (2020)An Inspection and Logging System for Complex Event Processing in Bosch’s Industry 4.0 MovementInformation Systems10.1007/978-3-030-63396-7_4(49-62)Online publication date: 21-Nov-2020
  • (2020)An Immersive Web Visualization Platform for a Big Data Context in Bosch’s Industry 4.0 MovementInformation Systems10.1007/978-3-030-44322-1_6(71-84)Online publication date: 18-Apr-2020
  • (2019)Uncertainty-Aware Event Analytics over Distributed SettingsProceedings of the 13th ACM International Conference on Distributed and Event-based Systems10.1145/3328905.3329763(175-186)Online publication date: 24-Jun-2019
  • (2019)Interactive Extreme-Scale Analytics: Towards Battling CancerIEEE Technology and Society Magazine10.1109/MTS.2019.291307138:2(54-61)Online publication date: Jun-2019
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