research-article

Distributed heterogeneous event processing: enhancing scalability and interoperability of CEP in an industrial context

Authors:

Björn Schilling,

Boris Koldehofe,

Kurt RothermelAuthors Info & Claims

DEBS '10: Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems

Pages 150 - 159

https://doi.org/10.1145/1827418.1827453

Published: 12 July 2010 Publication History

Abstract

Although a significant amount of research has investigated the benefits of distributed CEP in terms of scalability and extensibility, there is an ongoing reluctance in deploying distributed CEP in an industrial context. In this paper we present the DHEP system developed together with the IBM® laboratory in Böblingen. It addresses some of the key problems in increasing the acceptance of distributed CEP, for example supporting interoperability between heterogeneous event processing systems. We present the concepts behind the DHEP system and show how those concepts help to achieve scalable and extensible event processing in an industrial context. Moreover, we verify in an evaluation study that the additional cost imposed by the DHEP system is moderate and 'affordable' for the benefits provided.

References

[1]

A. Adi and O. Etzion. Amit - the situation manager. The VLDB Journal, 13(2):177--203, 2004.

Digital Library

[2]

M. Beisiegel et al. Sca service component architecture - assembly model specification, version 1.0. Technical report, Open Service Oriented Architecture collaboration (OSOA), 2007.

[3]

A. Biger, O. Etzion, and Y. Rabinovich. Stratified implementation of event processing network. In Distributed event-based systems (DEBS), 2008.

[4]

J. A. Briones, B. Koldehofe, and K. Rothermel. Spine: Adaptive publish/subscribe for wireless mesh networks. Studia Informatika Universalis (Hrsg), 7(3):320--353, 2009.

[5]

S. Chakravarthy and R. Adaikkalavan. Events and streams: harnessing and unleashing their synergy! In Proc. of the second international conference on Distributed Event-Based Systems (DEBS), 2008.

Digital Library

[6]

S. Chakravarthy and D. Mishra. Snoop: an expressive event specification language for active databases. Data Knowl. Eng., 14(1):1--26, 1994.

Digital Library

[7]

CIM. Current cim model. http://cimug.ucaiug.org, March 2009.

[8]

S. Gatziu and K. Dittrich. Samos: an active object-oriented database system. Data Engineering, 15:23--26, December 1992.

[9]

M. Hapner et al. Java message service. Technical report, Sun Microsystems Inc., 2002.

[10]

G. Jakobson. The technology and practice of integrated multiagent event correlation systems. Integration of Knowledge Intensive Multi-Agent Systems, pages 568--573, 2003.

[11]

G. G. Koch, B. Koldehofe, and K. Rothermel. Cordies: Expressive event correlation in distributed systems. In Proc. of the 4th Int. Conf. on Distributed Event-Based Systems (DEBS), 2010.

Digital Library

[12]

G. Li and H.-A. Jacobsen. Composite subscriptions in content-based publish/subscribe systems. In Proc. of the Int. Conf. on Middleware. Springer-Verlag New York, Inc., 2005.

Digital Library

[13]

Y. Liu, I. Gorton, and V. K. Lee. The architecture of an event correlation service for adaptive middleware-based applications. J. Syst. Softw., 81(12):2134--2145, 2008.

Digital Library

[14]

D. Luckham and R. Schulte. Event processing glossary, July 2008.

[15]

B. Mann. Providing a backbone for connectivity with soa messaging. Whitepaper, IBM Websphere, 2009.

[16]

A. McMorran. An introduction to iec 61970--301 & 61968--11: The common information model. cimphony.org/cimphony/cim-intro.pdf, 2007.

[17]

P. R. Pietzuch, B. Shand, and J. Bacon. A framework for event composition in distributed systems. In Proc. of the 4th Int. Conf. on Middleware, 2003.

Digital Library

[18]

B. Schilling, U. Pletat, and K. Rothermel. Event correlation in heterogeneous environments. it - Information Technology, 5:270--275, 2009.

[19]

D. C. Schmidt. Reactor - an object behavioral pattern for demultiplexing and dispatching handles for synchronous events. In Proceedings of the First Pattern Languages of Programs conference, 1994.

[20]

D. Steinberg, F. Budinsky, M. Paternostro, and E. Merks. EMF: Eclipse Modeling Framework. Addison-Wesley Professional, 2008.

Digital Library

[21]

W. Tai, D. OSullivan, and J. Keeney. Distributed fault correlation scheme using a semantic publish/subscribe system. Network Operations and Management Symposium (NOMS), IEEE, pages 835--838, 2008.

[22]

M. A. Tariq et al. Dynamic publish/subscribe to meet subscriber-defined delay and bandwidth constraints. In Int. Conf. on Parallel Computing (Euro-Par), 2010.

Digital Library

[23]

R. Ten-Hove and P. W. (editors). Java business integration (jbi) 1.0 final release. Sun Microsystems, USA, 2005.

Cited By

Dilrukshi TRanathunga S(2021)STHITHIKA: Distributed Complex Event Processing with Query Rewriting2021 Moratuwa Engineering Research Conference (MERCon)10.1109/MERCon52712.2021.9525778(705-710)Online publication date: 27-Jul-2021
https://doi.org/10.1109/MERCon52712.2021.9525778
Wang QShang Y(2018)A Distributed Complex Event Processing System Based on Publish/SubscribeRecent Developments in Intelligent Computing, Communication and Devices10.1007/978-981-10-8944-2_113(981-990)Online publication date: 23-Aug-2018
https://doi.org/10.1007/978-981-10-8944-2_113
Alakari ALi KGebali F(2017)Complex event processing enrichment: Motivations and challenges2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)10.1109/PACRIM.2017.8121891(1-7)Online publication date: Aug-2017
https://doi.org/10.1109/PACRIM.2017.8121891
Show More Cited By

Index Terms

Distributed heterogeneous event processing: enhancing scalability and interoperability of CEP in an industrial context

Recommendations

Efficient and Distributed Rule Placement in Heavy Constraint-Driven Event Systems
HPCC '11: Proceedings of the 2011 IEEE International Conference on High Performance Computing and Communications

Complex Event Processing (CEP) is of increasing importance in many industrial applications to integrate a huge number of events in a scalable manner. A core challenge towards scalable CEP is to efficiently distribute the rules which define how ...
Reasoning on the Efficiency of Distributed Complex Event Processing
Concurrency, Specification, and Programming: Special Issue of Selected Papers of CS&P 2018

Complex event processing (CEP) evaluates queries over streams of event data to detect situations of interest. If the event data are produced by geographically distributed sources, CEP may exploit in-network processing that distributes the evaluation of a ...
Complex event processing with T-REX

Several application domains involve detecting complex situations and reacting to them. This asks for a Complex Event Processing (CEP) middleware specifically designed to timely process large amounts of event notifications as they flow from the ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

DEBS '10: Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems

July 2010

303 pages

ISBN:9781605589275

DOI:10.1145/1827418

Co-chair:
Peter Pietzuch
Imperial College London, UK
,
Conference Chair:
Jean Bacon
University of Cambridge, UK
,
Program Chairs:
Joe Sventek
University of Glasgow, UK
,
Ugur Cetintemel
Brown University, Rhode Island

Copyright © 2010 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]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 July 2010

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

DEBS '10

Sponsor:

DEBS '10: The 4th ACM International Conference on Distributed Event-based Systems

July 12 - 15, 2010

Cambridge, United Kingdom

Acceptance Rates

Overall Acceptance Rate 145 of 583 submissions, 25%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

12
Total Citations
View Citations
549
Total Downloads

Downloads (Last 12 months)6
Downloads (Last 6 weeks)1

Reflects downloads up to 20 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Dilrukshi TRanathunga S(2021)STHITHIKA: Distributed Complex Event Processing with Query Rewriting2021 Moratuwa Engineering Research Conference (MERCon)10.1109/MERCon52712.2021.9525778(705-710)Online publication date: 27-Jul-2021
https://doi.org/10.1109/MERCon52712.2021.9525778
Wang QShang Y(2018)A Distributed Complex Event Processing System Based on Publish/SubscribeRecent Developments in Intelligent Computing, Communication and Devices10.1007/978-981-10-8944-2_113(981-990)Online publication date: 23-Aug-2018
https://doi.org/10.1007/978-981-10-8944-2_113
Alakari ALi KGebali F(2017)Complex event processing enrichment: Motivations and challenges2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)10.1109/PACRIM.2017.8121891(1-7)Online publication date: Aug-2017
https://doi.org/10.1109/PACRIM.2017.8121891
Tariq MKoldehofe BBhowmik SRothermel KRéveillère LCherkasova LTaïani F(2014)PLEROMAProceedings of the 15th International Middleware Conference10.1145/2663165.2663338(217-228)Online publication date: 8-Dec-2014
https://dl.acm.org/doi/10.1145/2663165.2663338
Schilling BKoldehofe BRotherme KRamachandran U(2013)Access Policy Consolidation for Event Processing SystemsProceedings of the 2013 Conference on Networked Systems10.1109/NetSys.2013.18(92-101)Online publication date: 11-Mar-2013
https://dl.acm.org/doi/10.1109/NetSys.2013.18
Koldehofe BOttenwälder BRothermel KRamachandran UBry FPaschke AEugster PFetzer CBehrend A(2012)Moving range queries in distributed complex event processingProceedings of the 6th ACM International Conference on Distributed Event-Based Systems10.1145/2335484.2335507(201-212)Online publication date: 16-Jul-2012
https://dl.acm.org/doi/10.1145/2335484.2335507
Isoyama KKobayashi YSato TKida KYoshida MTagato HBry FPaschke AEugster PFetzer CBehrend A(2012)A scalable complex event processing system and evaluations of its performanceProceedings of the 6th ACM International Conference on Distributed Event-Based Systems10.1145/2335484.2335498(123-126)Online publication date: 16-Jul-2012
https://dl.acm.org/doi/10.1145/2335484.2335498
Paraiso FHermosillo GRouvoy RMerle PSeinturier L(2012)A Middleware Platform to Federate Complex Event ProcessingProceedings of the 2012 IEEE 16th International Enterprise Distributed Object Computing Conference10.1109/EDOC.2012.22(113-122)Online publication date: 10-Sep-2012
https://dl.acm.org/doi/10.1109/EDOC.2012.22
Isoyama KDempo HSato TYoshida M(2011)SCTXPF: Scalable Context Delivery Platform2011 IEEE International Conference on Communications Workshops (ICC)10.1109/iccw.2011.5963562(1-5)Online publication date: Jun-2011
https://doi.org/10.1109/iccw.2011.5963562
Volz MKoldehofe BRothermel K(2011)Supporting Strong Reliability for Distributed Complex Event Processing SystemsProceedings of the 2011 IEEE International Conference on High Performance Computing and Communications10.1109/HPCC.2011.69(477-486)Online publication date: 2-Sep-2011
https://dl.acm.org/doi/10.1109/HPCC.2011.69
Show More Cited By

View Options

Login options

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

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents