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State management and concurrency in event processing

Published: 06 July 2009 Publication History

Abstract

State management in stream and event processing applications is a long-standing problem. There is a conflict between individual stream processing (SP) operators as transformational units, whose purpose is to generate business events, and (explicit) state that evolves with time. In the paper, we propose a new scalable design solution for this problem using functional state transformer (ST) component(s) combined with a traditional stream processor.

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Peyton Jones, S. L. and Launchbury, J.: State in Haskell, Lisp and Symbolic Computation 8(4), Dec 1995, pp 293--341.
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Cited By

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  • (2015)A Representational Analysis of the API4KP MetamodelFormal Ontologies Meet Industry10.1007/978-3-319-21545-7_1(1-12)Online publication date: 25-Jul-2015
  • (2015)API4KP Metamodel: A Meta-API for Heterogeneous Knowledge PlatformsRule Technologies: Foundations, Tools, and Applications10.1007/978-3-319-21542-6_10(144-160)Online publication date: 12-Jul-2015
  • (2013)Efficient persistency management in complex event processingProceedings of the 7th international conference on Theory, Practice, and Applications of Rules on the Web10.1007/978-3-642-39617-5_14(129-143)Online publication date: 11-Jul-2013
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Published In

cover image ACM Conferences
DEBS '09: Proceedings of the Third ACM International Conference on Distributed Event-Based Systems
July 2009
292 pages
ISBN:9781605586656
DOI:10.1145/1619258
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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Publication History

Published: 06 July 2009

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Author Tags

  1. concurrency control
  2. event and stream processing
  3. functional approach
  4. state management

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DEBS '09

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Overall Acceptance Rate 145 of 583 submissions, 25%

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Cited By

View all
  • (2015)A Representational Analysis of the API4KP MetamodelFormal Ontologies Meet Industry10.1007/978-3-319-21545-7_1(1-12)Online publication date: 25-Jul-2015
  • (2015)API4KP Metamodel: A Meta-API for Heterogeneous Knowledge PlatformsRule Technologies: Foundations, Tools, and Applications10.1007/978-3-319-21542-6_10(144-160)Online publication date: 12-Jul-2015
  • (2013)Efficient persistency management in complex event processingProceedings of the 7th international conference on Theory, Practice, and Applications of Rules on the Web10.1007/978-3-642-39617-5_14(129-143)Online publication date: 11-Jul-2013
  • (2011)Entity-based state management for complex event processing applicationsProceedings of the 5th international conference on Rule-based reasoning, programming, and applications10.5555/2032787.2032804(154-169)Online publication date: 19-Jul-2011
  • (2011)Entity-Based State Management for Complex Event Processing ApplicationsRule-Based Reasoning, Programming, and Applications10.1007/978-3-642-22546-8_13(154-169)Online publication date: 2011
  • (2011)Rule Responder Agents Framework and InstantiationsSemantic Agent Systems10.1007/978-3-642-18308-9_1(3-23)Online publication date: 2011

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