The thesis outlines the progress made towards self-adaptation in industrial production. It proposes an architectural design that enables dynamic adaptation for IIoT systems. To facilitate the integration of heterogeneous and numerous physical components, my proposed approach shifts from tightly-coupled automation systems to loosely-coupled flexible information and communication infrastructure by employing service-oriented and decentralized technologies. Furthermore, the concept of Autonomic Computing (AC) is exploited to enable self-management among the systems with the goal to enable autonomous decision-making based on real-time information from the integrated components.
To illustrate the potential of this design, an Autonomic Adaptation System is prototyped to provide dynamic adaptation as a service in order to assist IIoT systems to re-orchestrate the communication among them or re-configure their internal functionality. The prototype of the system has been implemented and tested with a simulated industrial use case.
You can also attend the defence by joining this WEBEX MEETING
https://ltu.webex.com/ltu/j.php?MTID=m8da1a977ffad4e0dd8a34e1106d30d42
Meeting number (access code): 2733 099 1550
Meeting password: YSpPwNpS723
Hope to see you all there :)
Monica Holone