skip to main content
10.1145/2882903.2899395acmconferencesArticle/Chapter ViewAbstractPublication PagesmodConference Proceedingsconference-collections
research-article

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

Authors Info & Claims
Published:26 June 2016Publication 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/.Google ScholarGoogle Scholar
  2. Flexible event pRocessing for big dAta aRchItectures. the FERARI project. http://www.ferari-project.eu/.Google ScholarGoogle Scholar
  3. IBM Proactive Technology Online on STORM. https://github.com/ishkin/Proton.Google ScholarGoogle Scholar
  4. Storm-Esper. https://github.com/tomdz/storm-esper.Google ScholarGoogle Scholar
  5. J. Agrawal, Y. Diao, D. Gyllstrom, and N. Immerman. Efficient pattern matching over event streams. In SIGMOD, June 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. M. Akdere, U. Çetintemel, and N. Tatbul. Plan-based complex event detection across distributed sources. In PVLDB, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. 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.Google ScholarGoogle Scholar
  8. O. Etzion and P. Niblett. Event Processing in Action. Manning Publications Company, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  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.Google ScholarGoogle Scholar

Index Terms

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

          Recommendations

          Comments

          Login options

          Check if you have access through your login credentials or your institution to get full access on this article.

          Sign in
          • Published in

            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

            Copyright © 2016 ACM

            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]

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 26 June 2016

            Permissions

            Request permissions about this article.

            Request Permissions

            Check for updates

            Qualifiers

            • research-article

            Acceptance Rates

            Overall Acceptance Rate785of4,003submissions,20%

          PDF Format

          View or Download as a PDF file.

          PDF

          eReader

          View online with eReader.

          eReader