Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11790/1332
Title: Self-Adaptation Applied to MQTT via a Generic Autonomic Management Framework
Authors: Maksuti, Silia 
Schluga, Oliver 
Settanni, Giuseppe 
Tauber, Markus 
Delsing, Jerker 
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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