Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A conservation-law-based modular fluid-flow model for network congestion modeling
KTH, School of Electrical Engineering (EES), Communication Networks. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Communication Networks. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Communication Networks. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-3704-1338
2012 (English)In: 2012 Proceedings - IEEE INFOCOM, IEEE Computer Society, 2012, 2050-2058 p.Conference paper, Published paper (Refereed)
Abstract [en]

A modular fluid-flow model for network congestion analysis and control is proposed. The model is derived from an information conservation law stating that the information is either in transit, lost or received. Mathematical models of network elements such as queues, users, and transmission channels, and network description variables, including sending/ acknowledgement rates and delays, are inferred from this law and obtained by applying this principle locally. The modularity of the devised model makes it sufficiently generic to describe any network topology, and appealing for building simulators. Previous models in the literature are often not capable of capturing the transient behavior of the network precisely, making the resulting analysis inaccurate in practice. Those models can be recovered from exact reduction or approximation of this new model. An important aspect of this particular modeling approach is the introduction of new tight building blocks that implement mechanisms ignored by the existing ones, notably at the queue and user levels. Comparisons with packet-level simulations corroborate the proposed model.

Place, publisher, year, edition, pages
IEEE Computer Society, 2012. 2050-2058 p.
Series
IEEE Infocom. Proceedings, ISSN 0743-166X
Keyword [en]
Congestion control modeling, Fluid-flow models, Queueing model, Self-clocking
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-58500DOI: 10.1109/INFCOM.2012.6195586ISI: 000309279502014Scopus ID: 2-s2.0-84861581389ISBN: 978-146730775-8 (print)OAI: oai:DiVA.org:kth-58500DiVA: diva2:473185
Conference
IEEE Conference on Computer Communications, INFOCOM 2012;Orlando, FL;25 March 2012 through 30 March 2012
Funder
ICT - The Next Generation
Note

QC 20120803

Available from: 2012-01-05 Created: 2012-01-05 Last updated: 2013-09-16Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Authority records BETA

Karlsson, Gunnar

Search in DiVA

By author/editor
Briat, CorentinYavuz, Emre A.Karlsson, Gunnar
By organisation
Communication NetworksACCESS Linnaeus Centre
Communication Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 132 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf