Far vs. Near: A Decision Framework for Cloud and Edge Use in the Process Industry
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
The technology readiness levels of cloud infrastructure and edge devices have increased significantly in recent years. This means that companies now have a growing number of computing environments at their disposal that could be suitable for the computing and control tasks involved in their production processes. Consequently, the need arises to select the best computing environment based on objective criteria and metrics. In order to create the basis for such a decision-making process, first an overview of the definitions and a comparison between edge and cloud environments is provided. Then a decision-making framework is derived that aims to facilitate this selection process. This is accomplished by providing a set of criteria that can be detailed to analyze a given use case. This analysis is then represented in a custom radar chart, which offers decision-makers a compact but meaningful representation of the decision space. Finally, the limits and future potentials of such a decision-making framework are discussed.
Details
| Original language | English |
|---|---|
| Title of host publication | 2024 IEEE 22nd International Conference on Industrial Informatics (INDIN) |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Number of pages | 8 |
| ISBN (electronic) | 979-8-3315-2747-1 |
| Publication status | Published - 12 Dec 2024 |
| Peer-reviewed | Yes |
Publication series
| Series | IEEE International Conference on Industrial Informatics (INDIN) |
|---|---|
| ISSN | 2378-363X |
Conference
| Title | 2024 IEEE 22nd International Conference on Industrial Informatics |
|---|---|
| Abbreviated title | INDIN 2024 |
| Conference number | 22 |
| Duration | 17 - 20 August 2024 |
| Website | |
| Location | Wyndham Beijing North |
| City | Beijing |
| Country | China |
External IDs
| ORCID | /0000-0001-5165-4459/work/173988493 |
|---|---|
| ORCID | /0009-0008-7719-8293/work/173988519 |
| ORCID | /0000-0003-3368-4130/work/173989149 |
| Scopus | 85215533465 |
Keywords
Research priority areas of TU Dresden
DFG Classification of Subject Areas according to Review Boards
Subject groups, research areas, subject areas according to Destatis
Sustainable Development Goals
ASJC Scopus subject areas
Keywords
- cloud, containerization, edge, process control systems