License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.07191.3
URN: urn:nbn:de:0030-drops-11423
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2007/1142/
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Urban, Susan ; Dietrich, Suzanne ; Chen, Yi

An XML Framework for Integrating Continuous Queries, Composite Event Detection, and Database Condition Monitoring for Multiple Data Streams

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07191.UrbanSusan4.ExtAbstract.1142.pdf (0.04 MB)

Abstract

With advancements in technology over the last ten years, data management
issues have evolved from a stored persistent form to also include streaming
data generated from sensors and other software monitoring tools.
Furthermore, distributed, event-based systems are becoming more prevalent,
with a need to develop applications that can dynamically respond to information extracted from data streams. This research is investigating the
integration of stream processing and event processing techniques, with
expressive filtering capabilities that include queries over persistent databases
to provide application context to the filtering process. Distributed Event
Processing Agents (DEPAs) continuously filter events from multiple data
streams of different formats that provide XML views. Composite events for
data streams are expressed using the Composite Event Detection Language (CEDL) and mapped to Composite XQuery (CXQ) for implementation. CXQ is a language that extends XQuery with features from CEDL, including operators for expressing sequence, disjunction, conjunction, repetition, aggregation, and time windows for events. Continuous queries and composite event filters are integrated with techniques for materialized view maintenance and
incremental evaluation in condition monitoring to provide efficient ways of
enhancing stream filters with database queries. The filtering and event
detection load is distributed among multiple DEPAs, with CXQ expressions
decomposed to allocate subcomponents of the expression to DEPAs that
efficiently communicate in the global detection of composite events. A unique
aspect of our research is that it extends XQuery with temporal, composite
event features to combine techniques for continuous queries in stream
processing, incremental evaluation in condition monitoring, and detection and
filtering of composite events, creating an expressive environment for the
extraction of meaningful events from multiple data streams with XML views.

BibTeX - Entry

@InProceedings{urban_et_al:DagSemProc.07191.3,
  author =	{Urban, Susan and Dietrich, Suzanne and Chen, Yi},
  title =	{{An XML Framework for Integrating Continuous Queries, Composite Event Detection, and Database Condition Monitoring for Multiple Data Streams}},
  booktitle =	{Event Processing},
  pages =	{1--5},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2007},
  volume =	{7191},
  editor =	{Mani Chandy and Opher Etzion and Rainer von Ammon},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2007/1142},
  URN =		{urn:nbn:de:0030-drops-11423},
  doi =		{10.4230/DagSemProc.07191.3},
  annote =	{Keywords: Composite events, stream processing, event filtering, extended XQuery, distributed event processing}
}

Keywords: Composite events, stream processing, event filtering, extended XQuery, distributed event processing
Collection: 07191 - Event Processing
Issue Date: 2007
Date of publication: 27.09.2007

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