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A complex event processing for large-scale M2M services and its performance evaluations

Published: 24 June 2015 Publication History

Abstract

This paper describes a scalable complex event processing (CEP) system and rule allocation algorithm for large-scale M2M services and presents the results of its performance evaluations. Platforms providing M2M services deal with various data from massive event sources in the real world. To realize these services, a scalable system is required. Our previous system determines efficient allocation of CEP rules based on a single key attribute type. However, it cannot maintain scalability in M2M situation because CEP rules are defined by various attribute types and there is no single key attribute, i.e. common attribute type among CEP rules. The challenging issue in the present work is how to maintain scalability where no common attribute type usable for rule allocation. The key idea in this paper is to allocate CEP rules based on different attribute types for each CEP rule instead of single key attribute type. We propose a rule allocation algorithm that determines the efficient allocation of CEP rules when the system needs processing a large number of events, a large number of CEP rules, and various types of events. Evaluation results show that the system with the proposed algorithm is scalable with many CEP Servers. We thus conclude that the proposed algorithm contributes to the realization of large-scale M2M services.

References

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D. Luckham. The Power of Events. ISBN 0-201-72789, 2002.
[2]
Microsoft Corporation. Home | Microsoft Azure Marketplace. http://datamarket.azure.com/. 18 August, 2014.
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Datamarket Inc. DataMarket - Find, Understand and Share Data - DataMarket. https://datamarket.com/. 18 August, 2014.
[4]
Kazuhiko Isoyama, et al. Architecture and Rule Allocation for Scalable Complex Event Processing. The 6th ACM International Conference on Distributed Event-Based Systems (DEBS), 2012.
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Kazuhiko Isoyama, et al. SCTXPF: Scalable Context Delivery Platform. IEEE ICC 2011 Workshop on Embedding the Real World into the Future Internet, 2011
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EsperTech Inc. Esper: Event Processing for Java. http://www.espertech.com/products/esper.php. 18 August, 2014.

Cited By

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  • (2019)CEP-Wizard: Automatic Deployment of Distributed Complex Event Processing2019 IEEE 35th International Conference on Data Engineering (ICDE)10.1109/ICDE.2019.00225(2004-2007)Online publication date: Apr-2019
  • (2018)Business process monitoring via decentralized complex event processingEnterprise Information Systems10.1080/17517575.2018.152245312:10(1257-1284)Online publication date: 22-Sep-2018
  • (2017)Proactive Personalized Services in Large-Scale IoT-Based Healthcare Application2017 IEEE International Conference on Web Services (ICWS)10.1109/ICWS.2017.96(808-813)Online publication date: Jun-2017
  • Show More Cited By

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cover image ACM Conferences
DEBS '15: Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems
June 2015
385 pages
ISBN:9781450332866
DOI:10.1145/2675743
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: 24 June 2015

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Author Tags

  1. CEP
  2. M2M
  3. event processing
  4. load distribution
  5. scalability

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DEBS '15

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Overall Acceptance Rate 145 of 583 submissions, 25%

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Cited By

View all
  • (2019)CEP-Wizard: Automatic Deployment of Distributed Complex Event Processing2019 IEEE 35th International Conference on Data Engineering (ICDE)10.1109/ICDE.2019.00225(2004-2007)Online publication date: Apr-2019
  • (2018)Business process monitoring via decentralized complex event processingEnterprise Information Systems10.1080/17517575.2018.152245312:10(1257-1284)Online publication date: 22-Sep-2018
  • (2017)Proactive Personalized Services in Large-Scale IoT-Based Healthcare Application2017 IEEE International Conference on Web Services (ICWS)10.1109/ICWS.2017.96(808-813)Online publication date: Jun-2017
  • (2016)Dimensioning and Capacity Planning Framework for Large Scale M2M Complex Event ProcessingProceedings of the 10th International Conference on Informatics and Systems10.1145/2908446.2908497(286-291)Online publication date: 9-May-2016

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