欢迎大家赞助一杯啤酒🍺 我们准备了下酒菜:Formal mathematics/Isabelle/ML, Formal verification/Coq/ACL2/Agda, C++/Lisp/Haskell
Complex event processing
来自开放百科 - 灰狐
				
								
				(版本间的差异)
				
																
				
				
								
小 (→图集)  | 
			小 (→链接)  | 
			||
| (未显示1个用户的24个中间版本) | |||
| 第2行: | 第2行: | ||
complex event processing(CEP) 复杂事件处理  | complex event processing(CEP) 复杂事件处理  | ||
| + | |||
| + | ==简介==  | ||
| + | CEP的主要问题在于缺少事件流的处理能力。  | ||
| + | |||
| + | [https://wso2.com/integration/streaming-integrator/ WSO2 Streaming Integrator] 正在做这方面的努力。  | ||
| + | |||
| + | 也可由[[Apache Kafka]] & Kafka Streams去实现CEP。  | ||
| + | |||
| + | [[gougou|狗狗网络]]承载全球事件云  | ||
| + | |||
| + | ==功能==  | ||
| + | CEP 的商业应用场景,包括检测信用卡欺诈(credit-card fraud)、商业活动监控(business activity monitoring)和安全监控(security monitoring)等。  | ||
| + | |||
| + | [https://complexevents.com/2020/06/15/whats-the-difference-between-esp-and-cep-2/ What’s the Difference Between ESP and CEP?] event stream processing (ESP)  | ||
==文档==  | ==文档==  | ||
| 第8行: | 第22行: | ||
==项目==  | ==项目==  | ||
| − | *[[  | + | *[[Apache Flink]] [https://ci.apache.org/projects/flink/flink-docs-stable/dev/libs/cep.html FlinkCEP - Complex event processing for Flink]  | 
| + | *[[Apache Samza]]  | ||
| + | *[[Apache Storm]]  | ||
| + | *[[Apache Spark]]  | ||
*[[Esper]]  | *[[Esper]]  | ||
*[[WSO2 CEP]]、[https://github.com/wso2/siddhi WSO2 Siddhi ECP Engine]  | *[[WSO2 CEP]]、[https://github.com/wso2/siddhi WSO2 Siddhi ECP Engine]  | ||
| + | *[[Drools]] + [[JBoss BPM]]  | ||
| + | *[https://github.com/fhussonnois/kafkastreams-cep Complex Event Processing on top of Kafka Streams Processor API]  | ||
| + | *[[Rivus CEP]] [[Erlang]]编写  | ||
*[[Apache Storm]]、[http://www.cnblogs.com/fxjwind/p/5048583.html 让Storm插上CEP的翅膀 - Siddhi调研和集成]  | *[[Apache Storm]]、[http://www.cnblogs.com/fxjwind/p/5048583.html 让Storm插上CEP的翅膀 - Siddhi调研和集成]  | ||
*[http://camel.apache.org/cep.html Camel CEP]  | *[http://camel.apache.org/cep.html Camel CEP]  | ||
| + | *[[Snowplow]] 事件分析平台  | ||
| + | *[https://ci.apache.org/projects/flink/flink-docs-release-1.0/apis/streaming/libs/cep.html FlinkCEP] - Complex event processing for [[Apache Flink]]  | ||
| + | *[https://github.com/EventStore/EventStore Event Store]  | ||
| + | *[https://github.com/fhussonnois/kafkastreams-cep kafkastreams-cep] Complex Event Processing on top of Kafka Streams Processor API  | ||
==厂商==  | ==厂商==  | ||
| + | *[https://complexevents.com/2021/03/07/vendors-and-products-in-the-event-stream-processing-market/ Vendors and Products in the Event Stream Processing Market]  | ||
*[http://www.oracle.com/technetwork/middleware/complex-event-processing/index.html Oracle Complex Event Processing]  | *[http://www.oracle.com/technetwork/middleware/complex-event-processing/index.html Oracle Complex Event Processing]  | ||
*[http://www.sap.com/pc/tech/database/software/sybase-complex-event-processing/index.html SAP Event Stream Processor]、[http://infocenter.sybase.com/help/topic/com.sybase.infocenter.help.cep.4.0/doc/html/title.html Sybase CEP Option R4]  | *[http://www.sap.com/pc/tech/database/software/sybase-complex-event-processing/index.html SAP Event Stream Processor]、[http://infocenter.sybase.com/help/topic/com.sybase.infocenter.help.cep.4.0/doc/html/title.html Sybase CEP Option R4]  | ||
| 第20行: | 第45行: | ||
*[https://msdn.microsoft.com/en-us/sqlserver/ee476990.aspx Microsoft StreamInsight]  | *[https://msdn.microsoft.com/en-us/sqlserver/ee476990.aspx Microsoft StreamInsight]  | ||
*[https://www.progress.com/search?start=0&q=apama&collection=progress Progress Apama]  | *[https://www.progress.com/search?start=0&q=apama&collection=progress Progress Apama]  | ||
| + | |||
| + | ==应用==  | ||
| + | *[https://www.javacodegeeks.com/2016/10/complex-event-processing-cep-apache-storm-apache-ignite.html Complex event processing (CEP) with Apache Storm and Apache Ignite]  | ||
==图集==  | ==图集==  | ||
<gallery>  | <gallery>  | ||
image:WSO2-CEP-overview.png|WSO2 ECP  | image:WSO2-CEP-overview.png|WSO2 ECP  | ||
| + | image:wso2-siddhi.png|Siddhi  | ||
| + | image:how-siddhi-works.png|Siddhi  | ||
image:oracle-event-platform-ecosystem.png|Oracle事件生态系统  | image:oracle-event-platform-ecosystem.png|Oracle事件生态系统  | ||
| + | image:RabbitMQ-Storm-Esper-Cassandra.png|实时分析集成Esper  | ||
| + | image:apache-kafka-streams-architecture.jpg|Kafka Streams  | ||
</gallery>  | </gallery>  | ||
==链接==  | ==链接==  | ||
| + | *[https://complexevents.com/ Real Time Intelligence & Complex Event Processing]  | ||
*[http://cn.forexmagnates.com/2013/02/20/story/7115 Progress软件:CEP详情]  | *[http://cn.forexmagnates.com/2013/02/20/story/7115 Progress软件:CEP详情]  | ||
| + | *[http://www.oracle.com/technetwork/middleware/complex-event-processing/downloads/downloads-086608.html Oracle Stream Explorer & Oracle Edge Analytics Downloads]  | ||
[[category:event]]  | [[category:event]]  | ||
[[category:process]]  | [[category:process]]  | ||
| + | [[category:gougou]]  | ||
| + | [[category:erlang]]  | ||
| + | [[category:elixir]]  | ||
2022年10月15日 (六) 04:16的最后版本
|   | 
您可以在Wikipedia上了解到此条目的英文信息 Complex event processing Thanks, Wikipedia. | 
complex event processing(CEP) 复杂事件处理
目录 | 
[编辑] 简介
CEP的主要问题在于缺少事件流的处理能力。
WSO2 Streaming Integrator 正在做这方面的努力。
也可由Apache Kafka & Kafka Streams去实现CEP。
狗狗网络承载全球事件云
[编辑] 功能
CEP 的商业应用场景,包括检测信用卡欺诈(credit-card fraud)、商业活动监控(business activity monitoring)和安全监控(security monitoring)等。
What’s the Difference Between ESP and CEP? event stream processing (ESP)
[编辑] 文档
[编辑] 项目
- Apache Flink FlinkCEP - Complex event processing for Flink
 - Apache Samza
 - Apache Storm
 - Apache Spark
 - Esper
 - WSO2 CEP、WSO2 Siddhi ECP Engine
 - Drools + JBoss BPM
 - Complex Event Processing on top of Kafka Streams Processor API
 - Rivus CEP Erlang编写
 - Apache Storm、让Storm插上CEP的翅膀 - Siddhi调研和集成
 - Camel CEP
 - Snowplow 事件分析平台
 - FlinkCEP - Complex event processing for Apache Flink
 - Event Store
 - kafkastreams-cep Complex Event Processing on top of Kafka Streams Processor API
 
[编辑] 厂商
- Vendors and Products in the Event Stream Processing Market
 - Oracle Complex Event Processing
 - SAP Event Stream Processor、Sybase CEP Option R4
 - 使用复杂事件处理实现实时企业,第 1 部分: 来自 IBM 的实际企业场景将向您展示如何实现
 - Microsoft StreamInsight
 - Progress Apama
 
[编辑] 应用
[编辑] 图集
[编辑] 链接
	分享您的观点