Far vs. Near: A Decision Framework for Cloud and Edge Use in the Process Industry

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

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 languageEnglish
Title of host publication2024 IEEE 22nd International Conference on Industrial Informatics (INDIN)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages8
ISBN (electronic)979-8-3315-2747-1
Publication statusPublished - 12 Dec 2024
Peer-reviewedYes

Publication series

SeriesIEEE International Conference on Industrial Informatics (INDIN)
ISSN2378-363X

Conference

Title2024 IEEE 22nd International Conference on Industrial Informatics
Abbreviated titleINDIN 2024
Conference number22
Duration17 - 20 August 2024
Website
LocationWyndham Beijing North
CityBeijing
CountryChina

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

Keywords

  • cloud, containerization, edge, process control systems