An aggregate flow marker for improving TCP fairness in multiple domain DiffServ networks

Ji Hoon Park, Kyeong Hur, Sung Jun Lee, Choon Geun Cho, Nho Kyung Park, Doo Seop Eom

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The differentiate services (DiffServ) is proposed to provide packet level service differentiations in a scalable manner. To provide end-to-end service differentiation to users having a connection over multiple domains, an intermediate marker is necessary at the edge routers. The intermediate marker has a fairness problem among the TCP flows due to the TCP's congestion control. In this paper, we propose an aggregate fairness marker (AFM) as an intermediate marker which works with a user flow three color marker (uf-TCM) operating as a flow marker for a user flow. Through the simulations, we show that the proposed AFM can improve fairness to the TCP flows with different RTTs.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsJosep Solé-Pareta, Jordi Domingo-Pascual, Michael Smirnov, Piet Van Mieghem, Edmundo Monteiro, Peter Reichl, Burkhard Stiller, Richard J. Gibbens, Burkhard Stiller
PublisherSpringer Verlag
Pages114-123
Number of pages10
ISBN (Print)9783540232384
DOIs
Publication statusPublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3266
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Park, J. H., Hur, K., Lee, S. J., Cho, C. G., Park, N. K., & Eom, D. S. (2004). An aggregate flow marker for improving TCP fairness in multiple domain DiffServ networks. In J. Solé-Pareta, J. Domingo-Pascual, M. Smirnov, P. Van Mieghem, E. Monteiro, P. Reichl, B. Stiller, R. J. Gibbens, & B. Stiller (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 114-123). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3266). Springer Verlag. https://doi.org/10.1007/978-3-540-30193-6_12