dc.contributor.author | Lu, Daixing |
dc.contributor.author | Wang, Kun |
dc.contributor.author | Wang, Yubo |
dc.contributor.author | Shen, Ye |
dc.contributor.other | Fachbereich Ingenieurwesen |
dc.date.accessioned | 2025-10-08T12:28:19Z |
dc.date.available | 2025-10-08T12:28:19Z |
dc.date.issued | 2025-06-18 |
dc.identifier.issn | 2076-3417 |
dc.identifier.uri | https://hlbrm.pur.hebis.de/xmlui/handle/123456789/362 |
dc.format.extent | 21 S. |
dc.language.iso | en |
dc.publisher | MDPI |
dc.relation.ispartof | Applied Sciences |
dc.rights | CC BY |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ |
dc.subject | intelligent manufacturing |
dc.subject | OPC UA |
dc.subject | edge computing |
dc.subject | high concurrency |
dc.subject | real time |
dc.subject.ddc | 600 Technik::620 Ingenieurwissenschaften |
dc.title | The Proposal and Validation of a Distributed Real-Time Data Management Framework Based on Edge Computing with OPC Unified Architecture and Kafka |
dc.type | Aufsatz |
dcterms.accessRights | open access |
pur.source.volume | 15 |
pur.source.issue | 12 |
dc.description.version | Published Version |
pur.source.articlenumber | 6862 |
pur.source.date | 2025 |
dc.identifier.doi | 10.3390/app15126862 |
dc.identifier.url | https://www.mdpi.com/2076-3417/15/12/6862 |
pur.fundingProject | / Shanghai Committee of Science and Technology / 21010504000 |
pur.peerReview | true |
pur.typeDCMI | Text |