Feedback in Recursive Congestion Control

In recursive network architectures such as RINA or RNA, it is natural for multiple layers to carry out congestion control. These layers can be stacked in arbitrary ways and provide more ways to use feedback than before (which of the many controllers along an end-to-end path should be notified?). Thi...

Full description

Saved in:
Bibliographic Details
Published inComputer Performance Engineering pp. 109 - 125
Main Authors Hayes, David A., Teymoori, Peyman, Welzl, Michael
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Online AccessGet full text

Cover

Loading…
Abstract In recursive network architectures such as RINA or RNA, it is natural for multiple layers to carry out congestion control. These layers can be stacked in arbitrary ways and provide more ways to use feedback than before (which of the many controllers along an end-to-end path should be notified?). This in turn raises concerns regarding stability and performance of such a system of interacting congestion control mechanisms. In this paper, we report on a first analysis of feedback methods in recursive networks that we carried out using a fluid model with a packet queue approximation. We find that the strict pushback feedback based on queue size can have stability issues, but robust control can be achieved when each congestion controller receives feedback from all sources of congestion within and below its layer.
AbstractList In recursive network architectures such as RINA or RNA, it is natural for multiple layers to carry out congestion control. These layers can be stacked in arbitrary ways and provide more ways to use feedback than before (which of the many controllers along an end-to-end path should be notified?). This in turn raises concerns regarding stability and performance of such a system of interacting congestion control mechanisms. In this paper, we report on a first analysis of feedback methods in recursive networks that we carried out using a fluid model with a packet queue approximation. We find that the strict pushback feedback based on queue size can have stability issues, but robust control can be achieved when each congestion controller receives feedback from all sources of congestion within and below its layer.
Author Hayes, David A.
Teymoori, Peyman
Welzl, Michael
Author_xml – sequence: 1
  givenname: David A.
  surname: Hayes
  fullname: Hayes, David A.
  email: davidh@simula.no
  organization: Simula Research Laboratory, Fornebu, Norway
– sequence: 2
  givenname: Peyman
  surname: Teymoori
  fullname: Teymoori, Peyman
  email: peymant@ifi.uio.no
  organization: University of Oslo, Oslo, Norway
– sequence: 3
  givenname: Michael
  surname: Welzl
  fullname: Welzl, Michael
  email: michawe@ifi.uio.no
  organization: University of Oslo, Oslo, Norway
BookMark eNo1UE1PwzAMNTAkutFfwKVHLgGnzpLmiCoGSJOQEJyjfjiobGpQU_j9ZANOfs-27PfeEhZjGBngSuKNRDS31lSCBEkrlFZEQrvqBJaUGkduTiGTWkpBpOwZ5Gn9f1baBWRIWAprFF1AHuMHIkpDprRVBtcb5r5tul0xjMULd19THL65qMP4znEewniA8xT2l3Dum33k_K-u4G1z_1o_iu3zw1N9txVRWjOLRhuvG0uqV4o9pf8afbfuWsvMCaFvqW-wlOwTxyYJ8WtVKamps75iWoH8vRs_pyGJmFwbwi46ie4QhUveHLnkzh2tuxQF_QCcwk4H
ContentType Book Chapter
Copyright Springer International Publishing AG 2016
Copyright_xml – notice: Springer International Publishing AG 2016
DOI 10.1007/978-3-319-46433-6_8
DatabaseTitleList
DeliveryMethod fulltext_linktorsrc
Discipline Computer Science
EISBN 3319464337
9783319464336
EISSN 1611-3349
Editor Paolieri, Marco
Platis, Agapios N.
Fiems, Dieter
Editor_xml – sequence: 1
  givenname: Dieter
  surname: Fiems
  fullname: Fiems, Dieter
  email: dieter.fiems@ugent.be
– sequence: 2
  givenname: Marco
  surname: Paolieri
  fullname: Paolieri, Marco
  email: marco.paolieri@unifi.it
– sequence: 3
  givenname: Agapios N.
  surname: Platis
  fullname: Platis, Agapios N.
  email: platis@aegean.gr
EndPage 125
GroupedDBID -DT
-GH
-~X
1SB
29L
2HA
2HV
5QI
875
AASHB
ABMNI
ACGFS
ADCXD
AEFIE
ALMA_UNASSIGNED_HOLDINGS
EJD
F5P
FEDTE
HVGLF
LAS
LDH
P2P
RIG
RNI
RSU
SVGTG
VI1
~02
ID FETCH-LOGICAL-s197t-a67f6a934d44ef332960fc5cb9eee0fc0fb3da021efee00a173f5484163c9f8e3
ISBN 9783319464329
3319464329
ISSN 0302-9743
IngestDate Tue Oct 01 19:52:17 EDT 2024
IsPeerReviewed true
IsScholarly true
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-s197t-a67f6a934d44ef332960fc5cb9eee0fc0fb3da021efee00a173f5484163c9f8e3
Notes D. Hayes — completed most of the work on this paper while with the University of Oslo.
PageCount 17
ParticipantIDs springer_books_10_1007_978_3_319_46433_6_8
PublicationPlace Cham
PublicationPlace_xml – name: Cham
PublicationSeriesSubtitle Programming and Software Engineering
PublicationSeriesTitle Lecture Notes in Computer Science
PublicationSeriesTitleAlternate Lect.Notes Computer
PublicationSubtitle 13th European Workshop, EPEW 2016, Chios, Greece, October 5-7, 2016, Proceedings
PublicationTitle Computer Performance Engineering
Publisher Springer International Publishing
Publisher_xml – name: Springer International Publishing
RelatedPersons Kleinberg, Jon M.
Mattern, Friedemann
Naor, Moni
Mitchell, John C.
Terzopoulos, Demetri
Steffen, Bernhard
Pandu Rangan, C.
Kanade, Takeo
Kittler, Josef
Weikum, Gerhard
Hutchison, David
Tygar, Doug
RelatedPersons_xml – sequence: 1
  givenname: David
  surname: Hutchison
  fullname: Hutchison, David
  organization: Lancaster University, Lancaster, United Kingdom
– sequence: 2
  givenname: Takeo
  surname: Kanade
  fullname: Kanade, Takeo
  organization: Carnegie Mellon University, Pittsburgh, USA
– sequence: 3
  givenname: Josef
  surname: Kittler
  fullname: Kittler, Josef
  organization: University of Surrey, Guildford, United Kingdom
– sequence: 4
  givenname: Jon M.
  surname: Kleinberg
  fullname: Kleinberg, Jon M.
  organization: Cornell University, Ithaca, USA
– sequence: 5
  givenname: Friedemann
  surname: Mattern
  fullname: Mattern, Friedemann
  organization: CNB H 104.2, ETH Zurich, Zürich, Switzerland
– sequence: 6
  givenname: John C.
  surname: Mitchell
  fullname: Mitchell, John C.
  organization: Stanford, USA
– sequence: 7
  givenname: Moni
  surname: Naor
  fullname: Naor, Moni
  organization: Weizmann Institute of Science, Rehovot, Israel
– sequence: 8
  givenname: C.
  surname: Pandu Rangan
  fullname: Pandu Rangan, C.
  organization: Madras, Indian Institute of Technology, Chennai, India
– sequence: 9
  givenname: Bernhard
  surname: Steffen
  fullname: Steffen, Bernhard
  organization: Fakultät Informatik, TU Dortmund, Dortmund, Germany
– sequence: 10
  givenname: Demetri
  surname: Terzopoulos
  fullname: Terzopoulos, Demetri
  organization: University of California, Los Angeles, USA
– sequence: 11
  givenname: Doug
  surname: Tygar
  fullname: Tygar, Doug
  organization: University of California, Berkeley, USA
– sequence: 12
  givenname: Gerhard
  surname: Weikum
  fullname: Weikum, Gerhard
  organization: Max Planck Institute for Informatics, Saarbrücken, Germany
SSID ssj0001737298
ssj0002792
Score 1.996136
Snippet In recursive network architectures such as RINA or RNA, it is natural for multiple layers to carry out congestion control. These layers can be stacked in...
SourceID springer
SourceType Publisher
StartPage 109
SubjectTerms Congestion Control
Congestion Control Mechanism
Explicit Congestion Notification
Packet Queue
Queue Size
Title Feedback in Recursive Congestion Control
URI http://link.springer.com/10.1007/978-3-319-46433-6_8
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LT8JAEN4g3jz4jho1PXgwkhpqt4U9eCAEQggSY0C9NdvtbGI0JZFykF_vTHdpeXjBS7NtWrqdb5mdmZ35lrGbOAERhzJwgySULocH7golPBfnBi1lgs8oikM-DcPemPffg_dKpb-UtTTL4ns1_7Ou5D-o4jXElapkt0C2-FG8gG3EF4-IMB7XjN_VMKvhFbD7MVASe5H7v0QvWOqWH6MK8vT1Wuu-cNYB_f6JqTR_xnY5Tt7ga_61nlRvx1UXp7tYqk8KlLxQsD7Pf29PUlqoorHUNsnvRl0RjfL0cWAXKoaTLM__qhV9t6plI864Fqksg2UrjqmP_2yOxo6NZtgCLVS-6L4YfQZG34bEougb1lKrQ726WJqOPVMXvaHpl5M7qBCL3ua7YdTcYTsNgfptt9XpD17LeBvtxyNKJnkiTjQrTKZTVPdTdNowM5XnBV2VYSRee-PGInpum4wO2B7VqzhUSIIiO2QVSI_Y_kLCjpXwMbtdIOd8pE6BnFMi51jkTti42xm1e67dJ8OdeqKRuTJs6FAKnyecg_axv2Fdq0DFAgCwVdexn0g05kDjeV2iKDQ6qmSKK6Gb4J-yajpJ4Yw5aH8L1eTKC5oNrnEG0gkkRDGIjkUAIM7Z3eJTIxr502hBe41yifwI5RLlcolQLhfb3HzJqtn3DK7QxMvia4veL7R5TCw
link.rule.ids 785,786,790,799,27958
linkProvider Library Specific Holdings
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=bookitem&rft.title=Computer+Performance+Engineering&rft.au=Hayes%2C+David+A.&rft.au=Teymoori%2C+Peyman&rft.au=Welzl%2C+Michael&rft.atitle=Feedback+in+Recursive+Congestion+Control&rft.series=Lecture+Notes+in+Computer+Science&rft.pub=Springer+International+Publishing&rft.isbn=9783319464329&rft.issn=0302-9743&rft.eissn=1611-3349&rft.spage=109&rft.epage=125&rft_id=info:doi/10.1007%2F978-3-319-46433-6_8
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0302-9743&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0302-9743&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0302-9743&client=summon