Content deleted Content added
→Vendors and products: add license for Esper product. |
No edit summary |
||
Line 76:
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==
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>[http://msdl.cs.mcgill.ca/people/istvan/pub/mtcps2016 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==
Line 106 ⟶ 109:
* [[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
* [https://wiki.eclipse.org/VIATRA/CEP VIATRA-CEP] - A model-driven CEP engine, part of the 3rd generation of the [[VIATRA]] [[model transformation]] framework
* [[WebSphere Business Events]]
* [[WSO2|WSO2 Siddhi]] Complex event processing written in Java. Designed as part of a series of middleware components.
| |||