Cloud PARTE: Elastic Complex Event Processing based on Mobile Actors

Research output: Chapter in Book/Report/Conference proceedingConference paper

4 Citations (Scopus)

Abstract

Traffic monitoring or crowd management systems produce large amounts of data in
the form of events that need to be processed to detect relevant incidents.
Rule-based pattern recognition is a promising approach for these
applications, however, increasing amounts of data as well as large and complex
rule sets demand for more and more processing power and memory. In order to
scale such
applications, a rule-based pattern detection system needs to be distributable
over multiple machines. Today's approaches are however focused on static
distribution of rules or do not support reasoning over the full set of events.

We propose Cloud PARTE, a complex event detection system that implements the Rete
algorithm on top of mobile actors. These actors can migrate between machines to
respond to changes in the work load distribution.
Cloud PARTE is an extension of \parte and offers the first rule engine specifically
tailored for continuous complex event detection that is able to benefit from
elastic systems as provided by cloud computing platforms.
It supports
fully automatic load balancing and supports online rules with access to the
entire event pool.
Original languageEnglish
Title of host publicationProceedings of AGERE! 2013, 3rd International Workshop on Programming based on Actors, Agents, and Decentralized Control
Place of PublicationNew York, NY, USA
PublisherACM
Pages1-10
Number of pages10
ISBN (Print)978-1-4503-2602-5
Publication statusPublished - Oct 2013
EventAGERE! 2013, 3rd International Workshop on Programming based on Actors, Agents, and Decentralized Control - Indianapolis, Indiana, United States
Duration: 27 Oct 201328 Oct 2013

Publication series

NameProceedings of AGERE! 2013, 3rd International Workshop on Programming based on Actors, Agents, and Decentralized Control

Workshop

WorkshopAGERE! 2013, 3rd International Workshop on Programming based on Actors, Agents, and Decentralized Control
CountryUnited States
CityIndianapolis, Indiana
Period27/10/1328/10/13

Keywords

  • mobile actors
  • Rete
  • Complex Event Processing
  • Online reasoning
  • Load balancing

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