Complex event processing - Revision history

Liz: Removing link(s) to "Sqlstream": Removing links to deleted page Sqlstream.

2024-10-09T06:53:18Z

Removing link(s) to "Sqlstream": Removing links to deleted page Sqlstream.

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	* [[Oracle SOA Suite\|Oracle Event Processing]] - for building applications to filter, correlate, and process events in real time.		* [[Oracle SOA Suite\|Oracle Event Processing]] - for building applications to filter, correlate, and process events in real time.
	* [[SAP SE\|SAP ESP]] - A low-latency, rapid development and deployment platform that allows processing multiple streams of data in real time<ref>{{Cite web \|url=http://scn.sap.com/community/developer-center/esp \|title=SAP ESP - Developers community \|access-date=2014-07-17 \|archive-url=https://web.archive.org/web/20150105095944/http://scn.sap.com/community/developer-center/esp \|archive-date=2015-01-05 \|url-status=dead }}</ref>		* [[SAP SE\|SAP ESP]] - A low-latency, rapid development and deployment platform that allows processing multiple streams of data in real time<ref>{{Cite web \|url=http://scn.sap.com/community/developer-center/esp \|title=SAP ESP - Developers community \|access-date=2014-07-17 \|archive-url=https://web.archive.org/web/20150105095944/http://scn.sap.com/community/developer-center/esp \|archive-date=2015-01-05 \|url-status=dead }}</ref>
	* ~~[[Sqlstream\|~~SQLstream]] SQLstream's stream processing platform, s-Server, provides a relational stream computing platform for analyzing large volumes of service, sensor and machine and log file data in real-time.		* SQLstream SQLstream's stream processing platform, s-Server, provides a relational stream computing platform for analyzing large volumes of service, sensor and machine and log file data in real-time.
	* [[TIBCO\| TIBCO BusinessEvents & Streambase ]] - CEP platform and High Performance Low Latency Event Stream Processing		* [[TIBCO\| TIBCO BusinessEvents & Streambase ]] - CEP platform and High Performance Low Latency Event Stream Processing
	* [[WebSphere Business Events]]		* [[WebSphere Business Events]]

109.54.209.64: changed for an example of general interest in economics

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changed for an example of general interest in economics

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	'''Event processing''' is a method of tracking and [[data analytics\|analyzing]] (processing) streams of information (data) about things that happen (events),<ref name=LuckhamD>{{cite book\|last=Luckham\|first=David C.\|title=Event Processing for Business: Organizing the Real-Time Enterprise\|url=http://ee.stanford.edu/~luckham/\|publisher=John Wiley & Sons, Inc.\|location = Hoboken, New Jersey\|year=2012\|page=3\|isbn=978-0-470-53485-4}}</ref> and deriving a conclusion from them. '''Complex event processing''' ('''CEP''') consists of a set of concepts and techniques developed in the early 1990s for processing real-time events and extracting information from event streams as they arrive. The goal of complex event processing is to identify meaningful events (such as [[business opportunity\|opportunities]] or threats)<ref name=Bates>{{citation\|last=Bates\|first=John\|title=John Bates of Progress explains how complex event processing works and how it can simplify the use of algorithms for finding and capturing trading opportunities\|date=15 June 2011\|url=http://fixglobal.com/home/secrets-revealed-trading-tools-uncover-hidden-opportunities/\|publisher=Fix Global Trading\|access-date=May 14, 2012}}</ref> in real-time situations and respond to them as quickly as possible.		'''Event processing''' is a method of tracking and [[data analytics\|analyzing]] (processing) streams of information (data) about things that happen (events),<ref name=LuckhamD>{{cite book\|last=Luckham\|first=David C.\|title=Event Processing for Business: Organizing the Real-Time Enterprise\|url=http://ee.stanford.edu/~luckham/\|publisher=John Wiley & Sons, Inc.\|location = Hoboken, New Jersey\|year=2012\|page=3\|isbn=978-0-470-53485-4}}</ref> and deriving a conclusion from them. '''Complex event processing''' ('''CEP''') consists of a set of concepts and techniques developed in the early 1990s for processing real-time events and extracting information from event streams as they arrive. The goal of complex event processing is to identify meaningful events (such as [[business opportunity\|opportunities]] or threats)<ref name=Bates>{{citation\|last=Bates\|first=John\|title=John Bates of Progress explains how complex event processing works and how it can simplify the use of algorithms for finding and capturing trading opportunities\|date=15 June 2011\|url=http://fixglobal.com/home/secrets-revealed-trading-tools-uncover-hidden-opportunities/\|publisher=Fix Global Trading\|access-date=May 14, 2012}}</ref> in real-time situations and respond to them as quickly as possible.

	These events may be happening across the various layers of an organization as sales leads, orders or [[customer service]] calls. Or, they may be news items,<ref>{{citation\|last=Crosman\|first=Penny\|title=Aleri, Ravenpack to Feed News into Trading Algos\|url=http://www.wallstreetandtech.com/articles/217500395\|publisher=Wall Street & Technology\|date=May 18, 2009}}{{Dead link\|date=July 2019 \|bot=InternetArchiveBot \|fix-attempted=yes }}</ref> [[text message]]s, [[social media]] [[Posting style\|posts]], ~~[[Market~~ ~~data\|stock~~ ~~market~~ ~~feed]]s~~, [[traffic report]]s, [[weather forecasting\|weather report]]s, or other kinds of data.<ref name=LuckhamD /> An event may also be defined as a "change of state," when a measurement exceeds a predefined threshold of time, temperature, or other value.		These events may be happening across the various layers of an organization as sales leads, orders or [[customer service]] calls. Or, they may be news items,<ref>{{citation\|last=Crosman\|first=Penny\|title=Aleri, Ravenpack to Feed News into Trading Algos\|url=http://www.wallstreetandtech.com/articles/217500395\|publisher=Wall Street & Technology\|date=May 18, 2009}}{{Dead link\|date=July 2019 \|bot=InternetArchiveBot \|fix-attempted=yes }}</ref> [[text message]]s, [[social media]] [[Posting style\|posts]], business processes (such as supply chain), [[traffic report]]s, [[weather forecasting\|weather report]]s, or other kinds of data.<ref name=LuckhamD /> An event may also be defined as a "change of state," when a measurement exceeds a predefined threshold of time, temperature, or other value.

	Analysts have suggested that CEP will give organizations a new way to analyze patterns in real-time and help the business side communicate better with IT and service departments.<ref>{{citation\|last=McKay\|first=Lauren\|title=Forrester Gives a Welcoming Wave to Complex Event Processing\|url=http://www.destinationcrm.com/Articles/CRM-News/Daily-News/Forrester-Gives-a-Welcoming-Wave-to-Complex-Event-Processing-55492.aspx\|publisher=Destination CRM\|date=August 13, 2009}}</ref> CEP has since become an enabling technology in many systems that are used to take immediate action in response to incoming streams of events. Applications are now to be found (2018) in many sectors of business including stock market trading systems, [[mobile device]]s, internet operations, [[fraud detection]], the [[transportation industry]], and [[Intelligence gathering network\|governmental intelligence gathering]].		Analysts have suggested that CEP will give organizations a new way to analyze patterns in real-time and help the business side communicate better with IT and service departments.<ref>{{citation\|last=McKay\|first=Lauren\|title=Forrester Gives a Welcoming Wave to Complex Event Processing\|url=http://www.destinationcrm.com/Articles/CRM-News/Daily-News/Forrester-Gives-a-Welcoming-Wave-to-Complex-Event-Processing-55492.aspx\|publisher=Destination CRM\|date=August 13, 2009}}</ref> CEP has since become an enabling technology in many systems that are used to take immediate action in response to incoming streams of events. Applications are now to be found (2018) in many sectors of business including stock market trading systems, [[mobile device]]s, internet operations, [[fraud detection]], the [[transportation industry]], and [[Intelligence gathering network\|governmental intelligence gathering]].

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	==History==		==History==
	The CEP area has roots in [[discrete event simulation]], the [[active database]] area and some programming languages. The activity in the industry was preceded by a wave of research projects in the 1990s. According to<ref>{{citation\|last=Leavit\|first=Neal\|title=Complex-Event Processing Poised for Growth\|url= http://www.computer.org/csdl/mags/co/2009/04/mco2009040017-abs.html\|publisher=Computer, vol. 42, no. 4, pp. 17-20 Washington\|date=April 2009}}</ref> the first project that paved the way to a generic CEP language and execution model was the Rapide project in [[Stanford University]], directed by [[David Luckham]]. In parallel there have been two other research projects: Infospheres in [[California Institute of Technology]], directed by [[K. Mani Chandy]], and [[Apama (software)\|Apama]] in [[University of Cambridge]] directed by John Bates. The commercial products were dependents of the concepts developed in these and some later research projects. Community efforts started in a series of event processing symposia organized by the [[Event Processing Technical Society]], and later by the ACM DEBS conference series. One of the community efforts was to produce the event processing manifesto.<ref>{{cite journal\|url=http://drops.dagstuhl.de/opus/volltexte/2011/2985\|title=10201 Executive Summary and Manifesto – Event Processing\|first1=Mani K.\|last1=Chandy\|first2=Opher\|last2=Etzion\|first3=Rainer von\|last3=Ammon\|journal=Drops-Idn/V2/Document/10.4230/Dagsemproc.10201.1 \|series=Dagstuhl Seminar Proceedings\|editor-first1=K. Mani\|editor-last1=Chandy\|editor-first2=Opher\|editor-last2=Etzion\|editor-first3=Rainer von\|editor-last3=Ammon\|date=22 December 2017\|volume=10201 \|pages=1–60 \|publisher=Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany\|doi=10.4230/DagSemProc.10201.1 \|via=Dagstuhl Research Online Publication Server}}</ref>		The CEP area has roots in [[discrete event simulation]], the [[active database]] area and some programming languages. The activity in the industry was preceded by a wave of research projects in the 1990s. According to<ref>{{citation\|last=Leavit\|first=Neal\|title=Complex-Event Processing Poised for Growth\|url= http://www.computer.org/csdl/mags/co/2009/04/mco2009040017-abs.html\|publisher=Computer, vol. 42, no. 4, pp. 17-20 Washington\|date=April 2009}}</ref> the first project that paved the way to a generic CEP language and execution model was the Rapide project in [[Stanford University]], directed by [[David Luckham]]. In parallel there have been two other research projects: Infospheres in [[California Institute of Technology]], directed by [[K. Mani Chandy]], and [[Apama (software)\|Apama]] in [[University of Cambridge]] directed by John Bates. The commercial products were dependents of the concepts developed in these and some later research projects. Community efforts started in a series of event processing symposia organized by the [[Event Processing Technical Society]], and later by the ACM DEBS conference series. One of the community efforts was to produce the event processing manifesto.<ref>{{cite journal\|url=http://drops.dagstuhl.de/opus/volltexte/2011/2985\|title=10201 Executive Summary and Manifesto – Event Processing\|first1=Mani K.\|last1=Chandy\|first2=Opher\|last2=Etzion\|first3=Rainer von\|last3=Ammon\|journal=Drops-Idn/V2/Document/10.4230/Dagsemproc.10201.1 \|series=Dagstuhl Seminar Proceedings\|editor-first1=K. Mani\|editor-last1=Chandy\|editor-first2=Opher\|editor-last2=Etzion\|editor-first3=Rainer von\|editor-last3=Ammon\|date=22 December 2017\|volume=10201 \|pages=1–60 \|publisher=Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany\|doi=10.4230/DagSemProc.10201.1 \|doi-access=free \|via=Dagstuhl Research Online Publication Server}}</ref>

	==Related concepts==		==Related concepts==

Argos Octagon 144: /* Vendors and products */ Doesnt link to an article but rather a page,looks more like advertising

2024-06-28T05:41:55Z

Vendors and products: Doesnt link to an article but rather a page,looks more like advertising

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	* [[Azure Stream Analytics]]		* [[Azure Stream Analytics]]
	* [[Drools\|Drools Fusion]]		* [[Drools\|Drools Fusion]]
	* [http://www.evam.com EVAM Streaming Analytics]
	* [[Esper (software)\|Esper]] Complex event processing for Java and C# (GPLv2).		* [[Esper (software)\|Esper]] Complex event processing for Java and C# (GPLv2).
	* [[Feedzai\|Feedzai - Pulse]]		* [[Feedzai\|Feedzai - Pulse]]

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2024-03-19T04:03:34Z

Add: date, journal. | Use this bot. Report bugs. | Suggested by Abductive | Category:Cognition | #UCB_Category 102/246

← Previous revision		Revision as of 04:03, 19 March 2024
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	==History==		==History==
	The CEP area has roots in [[discrete event simulation]], the [[active database]] area and some programming languages. The activity in the industry was preceded by a wave of research projects in the 1990s. According to<ref>{{citation\|last=Leavit\|first=Neal\|title=Complex-Event Processing Poised for Growth\|url= http://www.computer.org/csdl/mags/co/2009/04/mco2009040017-abs.html\|publisher=Computer, vol. 42, no. 4, pp. 17-20 Washington\|date=April 2009}}</ref> the first project that paved the way to a generic CEP language and execution model was the Rapide project in [[Stanford University]], directed by [[David Luckham]]. In parallel there have been two other research projects: Infospheres in [[California Institute of Technology]], directed by [[K. Mani Chandy]], and [[Apama (software)\|Apama]] in [[University of Cambridge]] directed by John Bates. The commercial products were dependents of the concepts developed in these and some later research projects. Community efforts started in a series of event processing symposia organized by the [[Event Processing Technical Society]], and later by the ACM DEBS conference series. One of the community efforts was to produce the event processing manifesto.<ref>{{cite journal\|url=http://drops.dagstuhl.de/opus/volltexte/2011/2985\|title=10201 Executive Summary and Manifesto – Event Processing\|first1=Mani K.\|last1=Chandy\|first2=Opher\|last2=Etzion\|first3=Rainer von\|last3=Ammon\|series=Dagstuhl Seminar Proceedings\|editor-first1=K. Mani\|editor-last1=Chandy\|editor-first2=Opher\|editor-last2=Etzion\|editor-first3=Rainer von\|editor-last3=Ammon\|date=22 December 2017\|volume=10201 \|pages=1–60 \|publisher=Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany\|doi=10.4230/DagSemProc.10201.1 \|via=Dagstuhl Research Online Publication Server}}</ref>		The CEP area has roots in [[discrete event simulation]], the [[active database]] area and some programming languages. The activity in the industry was preceded by a wave of research projects in the 1990s. According to<ref>{{citation\|last=Leavit\|first=Neal\|title=Complex-Event Processing Poised for Growth\|url= http://www.computer.org/csdl/mags/co/2009/04/mco2009040017-abs.html\|publisher=Computer, vol. 42, no. 4, pp. 17-20 Washington\|date=April 2009}}</ref> the first project that paved the way to a generic CEP language and execution model was the Rapide project in [[Stanford University]], directed by [[David Luckham]]. In parallel there have been two other research projects: Infospheres in [[California Institute of Technology]], directed by [[K. Mani Chandy]], and [[Apama (software)\|Apama]] in [[University of Cambridge]] directed by John Bates. The commercial products were dependents of the concepts developed in these and some later research projects. Community efforts started in a series of event processing symposia organized by the [[Event Processing Technical Society]], and later by the ACM DEBS conference series. One of the community efforts was to produce the event processing manifesto.<ref>{{cite journal\|url=http://drops.dagstuhl.de/opus/volltexte/2011/2985\|title=10201 Executive Summary and Manifesto – Event Processing\|first1=Mani K.\|last1=Chandy\|first2=Opher\|last2=Etzion\|first3=Rainer von\|last3=Ammon\|journal=Drops-Idn/V2/Document/10.4230/Dagsemproc.10201.1 \|series=Dagstuhl Seminar Proceedings\|editor-first1=K. Mani\|editor-last1=Chandy\|editor-first2=Opher\|editor-last2=Etzion\|editor-first3=Rainer von\|editor-last3=Ammon\|date=22 December 2017\|volume=10201 \|pages=1–60 \|publisher=Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany\|doi=10.4230/DagSemProc.10201.1 \|via=Dagstuhl Research Online Publication Server}}</ref>

	==Related concepts==		==Related concepts==
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	* [[Esper (software)\|Esper]] Complex event processing for Java and C# (GPLv2).		* [[Esper (software)\|Esper]] Complex event processing for Java and C# (GPLv2).
	* [[Feedzai\|Feedzai - Pulse]]		* [[Feedzai\|Feedzai - Pulse]]
	* [[Microsoft\|Microsoft StreamInsight]] Microsoft CEP Engine implementation<ref>{{cite web\|url=https://technet.microsoft.com/en-us/library/ee362541(v=sql.111).aspx\|title=Microsoft StreamInsight\|website=technet.microsoft.com}}</ref>		* [[Microsoft\|Microsoft StreamInsight]] Microsoft CEP Engine implementation<ref>{{cite web\|url=https://technet.microsoft.com/en-us/library/ee362541(v=sql.111).aspx\|title=Microsoft StreamInsight\|website=technet.microsoft.com\|date=28 July 2016 }}</ref>
	* [[openPDC]] — A set of applications for processing streaming time-series data in real-time.		* [[openPDC]] — A set of applications for processing streaming time-series data in real-time.
	* [[Oracle SOA Suite\|Oracle Event Processing]] - for building applications to filter, correlate, and process events in real time.		* [[Oracle SOA Suite\|Oracle Event Processing]] - for building applications to filter, correlate, and process events in real time.

Najeeb1010: /* Conceptual description */

2024-02-14T14:35:13Z

Conceptual description

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	* Event-[[pattern detection]]		* Event-[[pattern detection]]
	* Event [[abstraction]]		* Event [[Abstraction (computer science)\|abstraction]]
	* Event filtering		* Event filtering
	* Event aggregation and transformation		* Event aggregation and transformation

Calalee: /* History */

2023-08-04T17:39:12Z

History

← Previous revision		Revision as of 17:39, 4 August 2023
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	==History==		==History==
	The CEP area has roots in [[discrete event simulation]], the [[active database]] area and some programming languages. The activity in the industry was preceded by a wave of research projects in the 1990s. According to<ref>{{citation\|last=Leavit\|first=Neal\|title=Complex-Event Processing Poised for Growth\|url= http://www.computer.org/csdl/mags/co/2009/04/mco2009040017-abs.html\|publisher=Computer, vol. 42, no. 4, pp. 17-20 Washington\|date=April 2009}}</ref> the first project that paved the way to a generic CEP language and execution model was the Rapide project in [[Stanford University]], directed by [[David Luckham]]. In parallel there have been two other research projects: Infospheres in [[California Institute of Technology]], directed by [[K. Mani Chandy]], and [[Apama (software)\|Apama]] in [[University of Cambridge]] directed by John Bates. The commercial products were dependents of the concepts developed in these and some later research projects. Community efforts started in a series of event processing ~~symposiums~~ organized by the [[Event Processing Technical Society]], and later by the ACM DEBS conference series. One of the community efforts was to produce the event processing manifesto.<ref>{{cite journal\|url=http://drops.dagstuhl.de/opus/volltexte/2011/2985\|title=10201 Executive Summary and Manifesto – Event Processing\|first1=Mani K.\|last1=Chandy\|first2=Opher\|last2=Etzion\|first3=Rainer von\|last3=Ammon\|series=Dagstuhl Seminar Proceedings\|editor-first1=K. Mani\|editor-last1=Chandy\|editor-first2=Opher\|editor-last2=Etzion\|editor-first3=Rainer von\|editor-last3=Ammon\|date=22 December 2017\|volume=10201 \|pages=1–60 \|publisher=Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany\|doi=10.4230/DagSemProc.10201.1 \|via=Dagstuhl Research Online Publication Server}}</ref>		The CEP area has roots in [[discrete event simulation]], the [[active database]] area and some programming languages. The activity in the industry was preceded by a wave of research projects in the 1990s. According to<ref>{{citation\|last=Leavit\|first=Neal\|title=Complex-Event Processing Poised for Growth\|url= http://www.computer.org/csdl/mags/co/2009/04/mco2009040017-abs.html\|publisher=Computer, vol. 42, no. 4, pp. 17-20 Washington\|date=April 2009}}</ref> the first project that paved the way to a generic CEP language and execution model was the Rapide project in [[Stanford University]], directed by [[David Luckham]]. In parallel there have been two other research projects: Infospheres in [[California Institute of Technology]], directed by [[K. Mani Chandy]], and [[Apama (software)\|Apama]] in [[University of Cambridge]] directed by John Bates. The commercial products were dependents of the concepts developed in these and some later research projects. Community efforts started in a series of event processing symposia organized by the [[Event Processing Technical Society]], and later by the ACM DEBS conference series. One of the community efforts was to produce the event processing manifesto.<ref>{{cite journal\|url=http://drops.dagstuhl.de/opus/volltexte/2011/2985\|title=10201 Executive Summary and Manifesto – Event Processing\|first1=Mani K.\|last1=Chandy\|first2=Opher\|last2=Etzion\|first3=Rainer von\|last3=Ammon\|series=Dagstuhl Seminar Proceedings\|editor-first1=K. Mani\|editor-last1=Chandy\|editor-first2=Opher\|editor-last2=Etzion\|editor-first3=Rainer von\|editor-last3=Ammon\|date=22 December 2017\|volume=10201 \|pages=1–60 \|publisher=Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany\|doi=10.4230/DagSemProc.10201.1 \|via=Dagstuhl Research Online Publication Server}}</ref>

	==Related concepts==		==Related concepts==

HeyElliott: ce

2023-08-02T20:00:27Z

← Previous revision		Revision as of 20:00, 2 August 2023
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	'''Event processing''' is a method of tracking and [[data analytics\|analyzing]] (processing) streams of information (data) about things that happen (events),<ref name=LuckhamD>{{cite book\|last=Luckham\|first=David C.\|title=Event Processing for Business: Organizing the Real-Time Enterprise\|url=http://ee.stanford.edu/~luckham/\|publisher=John Wiley & Sons, Inc.\|location = Hoboken, New Jersey\|year=2012\|page=3\|isbn=978-0-470-53485-4}}</ref> and deriving a conclusion from them. '''Complex event processing'''~~, or~~ '''CEP''', consists of a set of concepts and techniques developed in the early 1990s for processing real-time events and extracting information from event streams as they arrive. The goal of complex event processing is to identify meaningful events (such as [[business opportunity\|opportunities]] or threats)<ref name=Bates>{{citation\|last=Bates\|first=John\|title=John Bates of Progress explains how complex event processing works and how it can simplify the use of algorithms for finding and capturing trading opportunities\|date=15 June 2011\|url=http://fixglobal.com/home/secrets-revealed-trading-tools-uncover-hidden-opportunities/\|publisher=Fix Global Trading\|access-date=May 14, 2012}}</ref> in real-time situations and respond to them as quickly as possible.		'''Event processing''' is a method of tracking and [[data analytics\|analyzing]] (processing) streams of information (data) about things that happen (events),<ref name=LuckhamD>{{cite book\|last=Luckham\|first=David C.\|title=Event Processing for Business: Organizing the Real-Time Enterprise\|url=http://ee.stanford.edu/~luckham/\|publisher=John Wiley & Sons, Inc.\|location = Hoboken, New Jersey\|year=2012\|page=3\|isbn=978-0-470-53485-4}}</ref> and deriving a conclusion from them. '''Complex event processing''' ('''CEP''') consists of a set of concepts and techniques developed in the early 1990s for processing real-time events and extracting information from event streams as they arrive. The goal of complex event processing is to identify meaningful events (such as [[business opportunity\|opportunities]] or threats)<ref name=Bates>{{citation\|last=Bates\|first=John\|title=John Bates of Progress explains how complex event processing works and how it can simplify the use of algorithms for finding and capturing trading opportunities\|date=15 June 2011\|url=http://fixglobal.com/home/secrets-revealed-trading-tools-uncover-hidden-opportunities/\|publisher=Fix Global Trading\|access-date=May 14, 2012}}</ref> in real-time situations and respond to them as quickly as possible.

	These events may be happening across the various layers of an organization as sales leads, orders or [[customer service]] calls. Or, they may be news items,<ref>{{citation\|last=Crosman\|first=Penny\|title=Aleri, Ravenpack to Feed News into Trading Algos\|url=http://www.wallstreetandtech.com/articles/217500395\|publisher=Wall Street & Technology\|date=May 18, 2009}}{{Dead link\|date=July 2019 \|bot=InternetArchiveBot \|fix-attempted=yes }}</ref> [[text message]]s, [[social media]] [[Posting style\|posts]], [[Market data\|stock market feed]]s, [[traffic report]]s, [[weather forecasting\|weather report]]s, or other kinds of data.<ref name=LuckhamD /> An event may also be defined as a "change of state," when a measurement exceeds a predefined threshold of time, temperature, or other value.		These events may be happening across the various layers of an organization as sales leads, orders or [[customer service]] calls. Or, they may be news items,<ref>{{citation\|last=Crosman\|first=Penny\|title=Aleri, Ravenpack to Feed News into Trading Algos\|url=http://www.wallstreetandtech.com/articles/217500395\|publisher=Wall Street & Technology\|date=May 18, 2009}}{{Dead link\|date=July 2019 \|bot=InternetArchiveBot \|fix-attempted=yes }}</ref> [[text message]]s, [[social media]] [[Posting style\|posts]], [[Market data\|stock market feed]]s, [[traffic report]]s, [[weather forecasting\|weather report]]s, or other kinds of data.<ref name=LuckhamD /> An event may also be defined as a "change of state," when a measurement exceeds a predefined threshold of time, temperature, or other value.

Sauer202: Common nouns are not capitalised in English

2023-04-09T18:41:01Z

Common nouns are not capitalised in English

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	The ideal case for CEP analysis is to view historical time series and real-time streaming data as a single time continuum. What happened yesterday, last week or last month is simply an extension of what is occurring today and what may occur in the future. An example may involve comparing current market volumes to historic volumes, prices and volatility for trade execution logic. Or the need to act upon live market prices may involve comparisons to benchmarks that include sector and index movements, whose intra-day and historic trends gauge volatility and smooth outliers.		The ideal case for CEP analysis is to view historical time series and real-time streaming data as a single time continuum. What happened yesterday, last week or last month is simply an extension of what is occurring today and what may occur in the future. An example may involve comparing current market volumes to historic volumes, prices and volatility for trade execution logic. Or the need to act upon live market prices may involve comparisons to benchmarks that include sector and index movements, whose intra-day and historic trends gauge volatility and smooth outliers.

	==Internet of ~~Things~~ and ~~Smart~~ ~~Cyber~~-physical systems==		==Internet of things and smart cyber-physical systems==
	Complex event processing is a key enabler in [[Internet of ~~Things~~]] (IoT) settings and ~~Smart~~ [[~~Cyber~~-physical system]]s (CPS) as well. Processing dense and heterogeneous streams from various sensors and matching patterns against those streams is a typical task in such cases.<ref>{{cite web\|url=http://msdl.cs.mcgill.ca/people/istvan/pub/mtcps2016\|title=Balogh, Dávid, Ráth, Varró, Vörös: Distributed and Heterogeneous Event-based Monitoring in Smart Cyber-Physical Systems, In 1st Workshop on Monitoring and Testing of Cyber-Physical Systems, Vienna, Austria. 2016.}}</ref> The majority of these techniques rely on the fact that representing the IoT system's state and its changes is more efficient in the form of a data stream, instead of having a static, materialized model. Reasoning over such stream-based models fundamentally differs from traditional reasoning techniques and typically require the combination of [[model transformation]]s and CEP.<ref>I. Dávid, I. Ráth, D. Varró: Foundations for Streaming Model Transformations by Complex Event Processing, International Journal on Software and Systems Modeling, pp 1--28, 2016. {{doi\|10.1007/s10270-016-0533-1}}</ref>		Complex event processing is a key enabler in [[Internet of things]] (IoT) settings and smart [[cyber-physical system]]s (CPS) as well. Processing dense and heterogeneous streams from various sensors and matching patterns against those streams is a typical task in such cases.<ref>{{cite web\|url=http://msdl.cs.mcgill.ca/people/istvan/pub/mtcps2016\|title=Balogh, Dávid, Ráth, Varró, Vörös: Distributed and Heterogeneous Event-based Monitoring in Smart Cyber-Physical Systems, In 1st Workshop on Monitoring and Testing of Cyber-Physical Systems, Vienna, Austria. 2016.}}</ref> The majority of these techniques rely on the fact that representing the IoT system's state and its changes is more efficient in the form of a data stream, instead of having a static, materialized model. Reasoning over such stream-based models fundamentally differs from traditional reasoning techniques and typically require the combination of [[model transformation]]s and CEP.<ref>I. Dávid, I. Ráth, D. Varró: Foundations for Streaming Model Transformations by Complex Event Processing, International Journal on Software and Systems Modeling, pp 1--28, 2016. {{doi\|10.1007/s10270-016-0533-1}}</ref>

	==See also==		==See also==

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	==History==		==History==
	The CEP area has roots in [[discrete event simulation]], the [[active database]] area and some programming languages. The activity in the industry was preceded by a wave of research projects in the 1990s. According to<ref>{{citation\|last=Leavit\|first=Neal\|title=Complex-Event Processing Poised for Growth\|url= http://www.computer.org/csdl/mags/co/2009/04/mco2009040017-abs.html\|publisher=Computer, vol. 42, no. 4, pp. 17-20 Washington\|date=April 2009}}</ref> the first project that paved the way to a generic CEP language and execution model was the Rapide project in [[Stanford University]], directed by [[David Luckham]]. In parallel there have been two other research projects: Infospheres in [[California Institute of Technology]], directed by [[K. Mani Chandy]], and [[Apama (software)\|Apama]] in [[University of Cambridge]] directed by John Bates. The commercial products were dependents of the concepts developed in these and some later research projects. Community efforts started in a series of event processing symposiums organized by the [[Event Processing Technical Society]], and later by the ACM DEBS conference series. One of the community efforts was to produce the event processing manifesto.<ref>{{cite ~~web~~\|url=http://drops.dagstuhl.de/opus/volltexte/2011/2985\|title=10201 Executive Summary and Manifesto – Event Processing\|first1=Mani K.\|last1=Chandy\|first2=Opher\|last2=Etzion\|first3=Rainer von\|last3=Ammon\|series=Dagstuhl Seminar Proceedings\|editor-first1=K. Mani\|editor-last1=Chandy\|editor-first2=Opher\|editor-last2=Etzion\|editor-first3=Rainer von\|editor-last3=Ammon\|date=22 December 2017\|publisher=Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany\|via=Dagstuhl Research Online Publication Server}}</ref>		The CEP area has roots in [[discrete event simulation]], the [[active database]] area and some programming languages. The activity in the industry was preceded by a wave of research projects in the 1990s. According to<ref>{{citation\|last=Leavit\|first=Neal\|title=Complex-Event Processing Poised for Growth\|url= http://www.computer.org/csdl/mags/co/2009/04/mco2009040017-abs.html\|publisher=Computer, vol. 42, no. 4, pp. 17-20 Washington\|date=April 2009}}</ref> the first project that paved the way to a generic CEP language and execution model was the Rapide project in [[Stanford University]], directed by [[David Luckham]]. In parallel there have been two other research projects: Infospheres in [[California Institute of Technology]], directed by [[K. Mani Chandy]], and [[Apama (software)\|Apama]] in [[University of Cambridge]] directed by John Bates. The commercial products were dependents of the concepts developed in these and some later research projects. Community efforts started in a series of event processing symposiums organized by the [[Event Processing Technical Society]], and later by the ACM DEBS conference series. One of the community efforts was to produce the event processing manifesto.<ref>{{cite journal\|url=http://drops.dagstuhl.de/opus/volltexte/2011/2985\|title=10201 Executive Summary and Manifesto – Event Processing\|first1=Mani K.\|last1=Chandy\|first2=Opher\|last2=Etzion\|first3=Rainer von\|last3=Ammon\|series=Dagstuhl Seminar Proceedings\|editor-first1=K. Mani\|editor-last1=Chandy\|editor-first2=Opher\|editor-last2=Etzion\|editor-first3=Rainer von\|editor-last3=Ammon\|date=22 December 2017\|volume=10201 \|pages=1–60 \|publisher=Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany\|doi=10.4230/DagSemProc.10201.1 \|via=Dagstuhl Research Online Publication Server}}</ref>

	==Related concepts==		==Related concepts==

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	'''Event processing''' is a method of tracking and [[data analytics\|analyzing]] (processing) streams of information (data) about things that happen (events),<ref name=LuckhamD>{{cite book\|last=Luckham\|first=David C.\|title=Event Processing for Business: Organizing the Real-Time Enterprise\|url=http://ee.stanford.edu/~luckham/\|publisher=John Wiley & Sons, Inc.\|location = Hoboken, New Jersey\|year=2012\|page=3\|isbn=978-0-470-53485-4}}</ref> and deriving a conclusion from them. '''Complex event processing''' ('''CEP''') consists of a set of concepts and techniques developed in the early 1990s for processing real-time events and extracting information from event streams as they arrive. The goal of complex event processing is to identify meaningful events (such as [[business opportunity\|opportunities]] or threats)<ref name=Bates>{{citation\|last=Bates\|first=John\|title=John Bates of Progress explains how complex event processing works and how it can simplify the use of algorithms for finding and capturing trading opportunities\|date=15 June 2011\|url=http://fixglobal.com/home/secrets-revealed-trading-tools-uncover-hidden-opportunities/\|publisher=Fix Global Trading\|access-date=May 14, 2012}}</ref> in real-time situations and respond to them as quickly as possible.		'''Event processing''' is a method of tracking and [[data analytics\|analyzing]] (processing) streams of information (data) about things that happen (events),<ref name=LuckhamD>{{cite book\|last=Luckham\|first=David C.\|title=Event Processing for Business: Organizing the Real-Time Enterprise\|url=http://ee.stanford.edu/~luckham/\|publisher=John Wiley & Sons, Inc.\|location = Hoboken, New Jersey\|year=2012\|page=3\|isbn=978-0-470-53485-4}}</ref> and deriving a conclusion from them. '''Complex event processing''' ('''CEP''') consists of a set of concepts and techniques developed in the early 1990s for processing real-time events and extracting information from event streams as they arrive. The goal of complex event processing is to identify meaningful events (such as [[business opportunity\|opportunities]] or threats)<ref name=Bates>{{citation\|last=Bates\|first=John\|title=John Bates of Progress explains how complex event processing works and how it can simplify the use of algorithms for finding and capturing trading opportunities\|date=15 June 2011\|url=http://fixglobal.com/home/secrets-revealed-trading-tools-uncover-hidden-opportunities/\|publisher=Fix Global Trading\|access-date=May 14, 2012}}</ref> in real-time situations and respond to them as quickly as possible.

	These events may be happening across the various layers of an organization as sales leads, orders or [[customer service]] calls. Or, they may be news items,<ref>{{citation\|last=Crosman\|first=Penny\|title=Aleri, Ravenpack to Feed News into Trading Algos\|url=http://www.wallstreetandtech.com/articles/217500395\|publisher=Wall Street & Technology\|date=May 18, 2009}}{{Dead link\|date=July 2019 \|bot=InternetArchiveBot \|fix-attempted=yes }}</ref> [[text message]]s, [[social media]] [[Posting style\|posts]], ~~[[Market~~ ~~data\|stock~~ ~~market~~ ~~feed]]s~~, [[traffic report]]s, [[weather forecasting\|weather report]]s, or other kinds of data.<ref name=LuckhamD /> An event may also be defined as a "change of state," when a measurement exceeds a predefined threshold of time, temperature, or other value.		These events may be happening across the various layers of an organization as sales leads, orders or [[customer service]] calls. Or, they may be news items,<ref>{{citation\|last=Crosman\|first=Penny\|title=Aleri, Ravenpack to Feed News into Trading Algos\|url=http://www.wallstreetandtech.com/articles/217500395\|publisher=Wall Street & Technology\|date=May 18, 2009}}{{Dead link\|date=July 2019 \|bot=InternetArchiveBot \|fix-attempted=yes }}</ref> [[text message]]s, [[social media]] [[Posting style\|posts]], business processes (such as supply chain), [[traffic report]]s, [[weather forecasting\|weather report]]s, or other kinds of data.<ref name=LuckhamD /> An event may also be defined as a "change of state," when a measurement exceeds a predefined threshold of time, temperature, or other value.

	Analysts have suggested that CEP will give organizations a new way to analyze patterns in real-time and help the business side communicate better with IT and service departments.<ref>{{citation\|last=McKay\|first=Lauren\|title=Forrester Gives a Welcoming Wave to Complex Event Processing\|url=http://www.destinationcrm.com/Articles/CRM-News/Daily-News/Forrester-Gives-a-Welcoming-Wave-to-Complex-Event-Processing-55492.aspx\|publisher=Destination CRM\|date=August 13, 2009}}</ref> CEP has since become an enabling technology in many systems that are used to take immediate action in response to incoming streams of events. Applications are now to be found (2018) in many sectors of business including stock market trading systems, [[mobile device]]s, internet operations, [[fraud detection]], the [[transportation industry]], and [[Intelligence gathering network\|governmental intelligence gathering]].		Analysts have suggested that CEP will give organizations a new way to analyze patterns in real-time and help the business side communicate better with IT and service departments.<ref>{{citation\|last=McKay\|first=Lauren\|title=Forrester Gives a Welcoming Wave to Complex Event Processing\|url=http://www.destinationcrm.com/Articles/CRM-News/Daily-News/Forrester-Gives-a-Welcoming-Wave-to-Complex-Event-Processing-55492.aspx\|publisher=Destination CRM\|date=August 13, 2009}}</ref> CEP has since become an enabling technology in many systems that are used to take immediate action in response to incoming streams of events. Applications are now to be found (2018) in many sectors of business including stock market trading systems, [[mobile device]]s, internet operations, [[fraud detection]], the [[transportation industry]], and [[Intelligence gathering network\|governmental intelligence gathering]].