Complex event processing: Difference between revisions

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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|url=http://fixglobal.com/home/secrets-revealed-trading-tools-uncover-hidden-opportunities/|publisher=Fix Global Trading|accessdateaccess-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.

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==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.|publisher=}}</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==

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* BRMS - A rules management engine by [[Red Hat]] based on [[Drools]]

* [[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>

* [[SAS ESP]] - A platform that is built for speed to analyse (apply SAS' and third-party analytics, including machine learning algorithms) millions of data records in motion (events) with low-latency response time (milliseconds and sub-milliseconds). Deployable at the edge, on premises and to the Cloud. Flexible platform that is built with openness in mind to make Analytics pervasive everywhere.<ref>{{cite web|url=https://www.sas.com/en_gb/software/data-management/event-stream-processing.html|title=SAS Event Stream Processing|publisher=}}</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.

* [[TIBCO| TIBCO BusinessEvents & Streambase ]] - CEP platform and High Performance Low Latency Event Stream Processing