A scalable service discovery protocol with the optimal discovery time for large-scale cyber physical systems
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Jeman | - |
dc.contributor.author | Joe, Inwhee | - |
dc.contributor.author | Kim, Won-Tae | - |
dc.date.accessioned | 2022-07-16T12:42:32Z | - |
dc.date.available | 2022-07-16T12:42:32Z | - |
dc.date.created | 2021-05-11 | - |
dc.date.issued | 2012-12 | - |
dc.identifier.issn | 1865-0929 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/164110 | - |
dc.description.abstract | A Cyber Physical System (CPS) is an autonomous embedded system based on high reliability with real-time control of distributed physical systems through networks. Data distribution middleware for CPS should be based on a data-centric approach and guarantee real-time performance. In this regard, OMG's DDS is the best proximity middleware. RTPS (Real-Time Publish/Subscribe) is proposed for real-time service discovery in DDS. However, legacy discovery protocols cannot completely support the CPS system with a large-scale network (approx. 100,000 entities) like a warship, because service discovery messages are proportional to the square of the number of participants in RTPS. This paper proposes a scalable service discovery protocol with optimal discovery time for large-scale cyber physical systems using random back-off and slow-start algorithms. The performance results prove that our protocol works to scale for large-scale CPS networks by minimizing the discovery time as well as traffic simultaneously. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Springer Verlag | - |
dc.title | A scalable service discovery protocol with the optimal discovery time for large-scale cyber physical systems | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Joe, Inwhee | - |
dc.identifier.doi | 10.1007/978-3-642-35600-1_5 | - |
dc.identifier.scopusid | 2-s2.0-84870840982 | - |
dc.identifier.bibliographicCitation | Communications in Computer and Information Science, v.351 CCIS, pp.33 - 40 | - |
dc.relation.isPartOf | Communications in Computer and Information Science | - |
dc.citation.title | Communications in Computer and Information Science | - |
dc.citation.volume | 351 CCIS | - |
dc.citation.startPage | 33 | - |
dc.citation.endPage | 40 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | CPS | - |
dc.subject.keywordPlus | DDS | - |
dc.subject.keywordPlus | Lagre-scale | - |
dc.subject.keywordPlus | Optimal Discovery Time | - |
dc.subject.keywordPlus | Random Back-off | - |
dc.subject.keywordPlus | RTPS | - |
dc.subject.keywordPlus | Service discovery | - |
dc.subject.keywordPlus | Computer applications | - |
dc.subject.keywordPlus | Grid computing | - |
dc.subject.keywordPlus | Information services | - |
dc.subject.keywordPlus | Information technology | - |
dc.subject.keywordPlus | Middleware | - |
dc.subject.keywordPlus | Real time control | - |
dc.subject.keywordPlus | Warships | - |
dc.subject.keywordPlus | Optimization | - |
dc.subject.keywordAuthor | CPS | - |
dc.subject.keywordAuthor | DDS | - |
dc.subject.keywordAuthor | Lagre-scale | - |
dc.subject.keywordAuthor | Optimal Discovery Time | - |
dc.subject.keywordAuthor | Random Back-off | - |
dc.subject.keywordAuthor | RTPS | - |
dc.subject.keywordAuthor | Service Discovery | - |
dc.identifier.url | https://link.springer.com/chapter/10.1007/978-3-642-35600-1_5 | - |
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