Self-Adaptation Applied to MQTT via a Generic Autonomic Management Framework
| Autor: | Jerker Delsing, Oliver Schluga, Markus Tauber, Silia Maksuti, Giuseppe Settanni |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Flexibility (engineering)
MQTT Business process Computer science Distributed computing 020206 networking & telecommunications production engineering computing security of data 02 engineering and technology Self adaptation product customisation 0202 electrical engineering electronic engineering information engineering Industrial systems production equipment Production (economics) 020201 artificial intelligence & image processing Anomaly detection Data transmission |
| Zdroj: | ICIT 2019 IEEE International Conference on Industrial Technology (ICIT) |
| DOI: | 10.1109/icit.2019.8754937 |
| Popis: | Manufacturing enterprises are constantly exploring new ways to improve their own production processes to address the increasing demand of customized production. However, such enterprises show a low degree of flexibility, which mainly results from the need to configure new production equipment at design and run time. In this paper we propose self-adaptation as an approach to improve data transmission flexibility in Industry 4.0 environments. We implement an autonomic manager using a generic autonomic management framework, which applies the most appropriate data transmission configuration based on security and business process related requirements, such as performance. The experimental evaluation is carried out in a MQTT infrastructure and the results show that using self-adaptation can significantly improve the trade-off between security and performance. We then propose to integrate anomaly detection methods as a solution to support self-adaptation by monitoring and learning the normal behavior of an industrial system and show how this can be used by the generic autonomic management framework. |
| Databáze: | OpenAIRE |
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