Approach for Defining Rules in the Context of Complex Event Processing
| Autor: | Stefan Braunreuther, Gunther Reinhart, Julia Pielmeier |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
020203 distributed computing
Focus (computing) business.industry Computer science Data stream mining 05 social sciences Complex event processing Context (language use) 02 engineering and technology computer.software_genre Domain (software engineering) Set (abstract data type) Analytics 0502 economics and business 0202 electrical engineering electronic engineering information engineering General Earth and Planetary Sciences Data mining Smart products business computer 050203 business & management General Environmental Science |
| Zdroj: | Procedia CIRP. 67:8-12 |
| ISSN: | 2212-8271 |
| DOI: | 10.1016/j.procir.2017.12.167 |
| Popis: | The vision of Industrie 4.0 and the Internet of Things (IoT) is based on the connection of smart products and smart machines equipped with sensors and actuators. The digitalization of industrial processes leads to the production of data streams. In this context, real-time analytics is becoming more and more important for business applications as a result of the need to deal with the growth of data and to react instantly to changes in the data streams. Complex event processing (CEP) is an efficient methodology to enable processing and real-time analysis of streams of data. The main focus of CEP is the detection of patterns in data streams. Therefore, a set of rules has to be predefined. These rules are characterized by various parameters. Defining the optimal values for these parameters is challenging. In current CEP systems, experts have to define the rule patterns. In this paper we suggest three ways to define rules: manual by domain experts, semi-automated by rule mining, or optimization. However, not all of these three ways can be applied to a production scenario or use case. Thus, we compare these approaches and match them with the appropriate production scenario. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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