On the benefit of caching traffic flow data in the link buffer

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Authors

  • Konstantin Septinus
  • Christian Grimm
  • Vladislav Rumyantsev
  • Peter Pirsch

Research Organisations

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Details

Original languageEnglish
Title of host publicationEmbedded Computer Systems
Subtitle of host publicationArchitectures, Modeling, and Simulation - 8th International Workshop, SAMOS 2008, Proceedings
Pages2-11
Number of pages10
Publication statusPublished - 2008
Event8th International Workshop on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2008 - Samos, Greece
Duration: 21 Jul 2008 → 24 Jul 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5114 LNCS
ISSN (Print)0302-9743
ISSN (electronic)1611-3349

Abstract

In this paper we review local caching of TCP/IP flow context data in the link buffer or a comparable other local buffer. Such connection cache is supposed to be a straight-forward optimization strategy for look-ups of flow context data in a network processor environment. The connection cache can extend common table-based look-up schemes and also be implemented in SW. On the basis of simulations with different IP network traces, we show a significant decrease of average search times. Finally, well-suited cache and table sizes are determined, which can be used for a wide range of IP network systems.

Keywords

    Connection cache, Link buffer, Network interface, Table lookup, TCP, Transmission control protocol

ASJC Scopus subject areas

Cite this

On the benefit of caching traffic flow data in the link buffer. / Septinus, Konstantin; Grimm, Christian; Rumyantsev, Vladislav et al.
Embedded Computer Systems: Architectures, Modeling, and Simulation - 8th International Workshop, SAMOS 2008, Proceedings. 2008. p. 2-11 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5114 LNCS).

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Septinus, K, Grimm, C, Rumyantsev, V & Pirsch, P 2008, On the benefit of caching traffic flow data in the link buffer. in Embedded Computer Systems: Architectures, Modeling, and Simulation - 8th International Workshop, SAMOS 2008, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5114 LNCS, pp. 2-11, 8th International Workshop on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2008, Samos, Greece, 21 Jul 2008. https://doi.org/10.1007/978-3-540-70550-5_2
Septinus, K., Grimm, C., Rumyantsev, V., & Pirsch, P. (2008). On the benefit of caching traffic flow data in the link buffer. In Embedded Computer Systems: Architectures, Modeling, and Simulation - 8th International Workshop, SAMOS 2008, Proceedings (pp. 2-11). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5114 LNCS). https://doi.org/10.1007/978-3-540-70550-5_2
Septinus K, Grimm C, Rumyantsev V, Pirsch P. On the benefit of caching traffic flow data in the link buffer. In Embedded Computer Systems: Architectures, Modeling, and Simulation - 8th International Workshop, SAMOS 2008, Proceedings. 2008. p. 2-11. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-70550-5_2
Septinus, Konstantin ; Grimm, Christian ; Rumyantsev, Vladislav et al. / On the benefit of caching traffic flow data in the link buffer. Embedded Computer Systems: Architectures, Modeling, and Simulation - 8th International Workshop, SAMOS 2008, Proceedings. 2008. pp. 2-11 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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