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|Title:||Self-Adaptation Applied to MQTT via a Generic Autonomic Management Framework||Authors:||Maksuti, Silia
|Keywords:||product customisation;production engineering computing;production equipment;security of data||Issue Date:||Feb-2019||Publisher:||IEEE||Abstract:||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.||Description:||IEEE International Conference on Industrial Technology (ICIT), Melbourne, Australia||URI:||http://hdl.handle.net/20.500.11790/1332||DOI:||10.1109/ICIT.2019.8754937||Rights:||info:eu-repo/semantics/closedAccess|
|Appears in Collections:||Informationstechnologie und Informationsmanagement|
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