An analytic model for correlated traffics in computer-communication networks
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lim, Si-Yeong | - |
dc.contributor.author | Hur, Sun | - |
dc.date.accessioned | 2021-06-24T00:38:14Z | - |
dc.date.available | 2021-06-24T00:38:14Z | - |
dc.date.created | 2021-01-21 | - |
dc.date.issued | 2005-05 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/46522 | - |
dc.description.abstract | It is well known that the traffic in computer-communication systems is autocorrelated and the correlation makes an great effect on the performances. So it is important to study the correlated arrival process to better estimate the performances at the system and Markov renewal process is considered here to model the autocorrelated arrival stream. We derive the expected number of packets at arbitrary epoch and expected delay time using supplementary variable method. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | SPRINGER-VERLAG BERLIN | - |
dc.title | An analytic model for correlated traffics in computer-communication networks | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Hur, Sun | - |
dc.identifier.doi | 10.1007/11424925_64 | - |
dc.identifier.scopusid | 2-s2.0-24944473205 | - |
dc.identifier.wosid | 000229637900064 | - |
dc.identifier.bibliographicCitation | COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2005, VOL 4, PROCEEDINGS, v.3483, pp.606 - 614 | - |
dc.relation.isPartOf | COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2005, VOL 4, PROCEEDINGS | - |
dc.citation.title | COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2005, VOL 4, PROCEEDINGS | - |
dc.citation.volume | 3483 | - |
dc.citation.startPage | 606 | - |
dc.citation.endPage | 614 | - |
dc.type.rims | ART | - |
dc.type.docType | Article; Proceedings Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Interdisciplinary Applications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.subject.keywordPlus | MR/GI/1 QUEUES | - |
dc.subject.keywordPlus | SERVICE TIMES | - |
dc.subject.keywordPlus | INTERARRIVAL | - |
dc.subject.keywordPlus | DEPENDENCY | - |
dc.identifier.url | https://link.springer.com/chapter/10.1007/11424925_64 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.