A DATA-INTEGRATED EDGE COMPUTING TECHNOLOGY ROADMAP FOR INDUSTRIAL INTERNET OF THINGS

Date

2023-4-26

Author

Bayar, Alp

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As the volume and velocity of data produced from production systems increase, transmitting all the data to a central cloud for processing becomes costly in time and network resources such as bandwidth and energy. In critical Industrial Internet of Things (IIoT) environments where a business decision requires an immediate course of action, edge computing as a new paradigm brings faster response time by processing data near where it is generated. As paradigms such as edge computing emerge, there is a lack of research on guiding digitally transforming organizations to utilize emerging technologies strategically. This study aims to investigate applications of edge computing and evaluate them regarding business objectives, market trends, technologies used, and challenges. To achieve those, first, this study investigates state-of-the-art edge computing architectures by their objective and application domain. Then, the study applies data-driven technology roadmapping from emerging technology management literature to edge computing applications in IIoT. It uses topic modeling, a natural language processing approach for identifying market and technology trends. It extends data-integrated roadmapping literature by using it as a technology and social change assessment tool, by integrating data as a layer of the data-driven technology roadmap.

Subject Keywords

Edge Computing, Technology Management, Industrial Internet of Things, Technology Roadmapping, Topic Modeling

URI

https://hdl.handle.net/11511/102824

Collections

Graduate School of Informatics, Thesis