Advances in active queue management (AQM) based TCP congestion control
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ryu, Seungwan | - |
dc.contributor.author | Rump, Christopher | - |
dc.contributor.author | Qiao, Chunming | - |
dc.date.accessioned | 2023-02-15T02:41:58Z | - |
dc.date.available | 2023-02-15T02:41:58Z | - |
dc.date.issued | 2004 | - |
dc.identifier.issn | 1018-4864 | - |
dc.identifier.issn | 1572-9451 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/60581 | - |
dc.description.abstract | Current end-to-end Internet congestion control under tail-drop (TD) queue management experiences performance degradations such as multiple packet losses, high queueing delay and low link utilization. In this paper, we review recently proposed active queue management (AQM) algorithms for supporting end-to-end transmission control protocol (TCP) congestion control. We focus recently developed control theoretic design and analysis method for the AQM based TCP congestion control dynamics. In this context, we analyze the problems of existing AQM proposals in which congestion is detected and controlled reactively based on current and/or past congestion. Then we argue that AQM based TCP congestion control should be adaptive to the dynamically changing traffic situation in order to detect, control and avoid the current and the incipient congestion proactively. Finally, we survey two adaptive and proactive AQM algorithms, PID-controller and Pro-Active Queue Management (PAQM), designed using classical proportional-integral-derivative (PID) feedback control to overcome the reactive congestion control dynamics of existing AQM algorithms. A comparative study of these AQM algorithms with existing AQM algorithms is given. A simulation study under a wide range of realistic traffic conditions suggests that PID-controller and PAQM outperform other AQM algorithms such as random early detection (RED) [Floyd and Jacobson, 18] and proportional-integral (PI) controller [Hollot et al., 24]. | - |
dc.format.extent | 35 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.title | Advances in active queue management (AQM) based TCP congestion control | - |
dc.type | Article | - |
dc.identifier.doi | 10.1023/B:TELS.0000014788.49773.70 | - |
dc.identifier.bibliographicCitation | Telecommunication Systems, v.25, no.3-4, pp 317 - 351 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-3543116648 | - |
dc.citation.endPage | 351 | - |
dc.citation.number | 3-4 | - |
dc.citation.startPage | 317 | - |
dc.citation.title | Telecommunication Systems | - |
dc.citation.volume | 25 | - |
dc.type.docType | Article | - |
dc.publisher.location | 네델란드 | - |
dc.subject.keywordAuthor | Active queue management | - |
dc.subject.keywordAuthor | AQM | - |
dc.subject.keywordAuthor | Congestion control | - |
dc.subject.keywordAuthor | Feedback control | - |
dc.subject.keywordAuthor | Proportional-integral-derivative control | - |
dc.subject.keywordAuthor | Random early detection | - |
dc.subject.keywordAuthor | RED | - |
dc.subject.keywordAuthor | TCP/IP | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang 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.