Aguri: An aggregation-based traffic profiler

Kenjiro Cho, Ryo Kaizaki, Akira Kato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

Aguri is an aggregation-based traffic profiler targeted for near real-time, long-term, and wide-area traffic monitoring. Aguri adapts itself to spatial traffic distribution by aggregating small volume flows into aggregates, and achieves temporal aggregation by creating a summary of summaries applying the same algorithm to its outputs. A set of scripts are used for archiving and visualizing summaries in different time scales. Aguri does not need a predefined rule set and is capable of detecting an unexpected increase of unknown protocols or DoS attacks, which considerably simplifies the task of network monitoring. Once aggregates are identified and profiled, it becomes possible to make use of the profile records to control the aggregates in best-effort traffic. As a possible solution, we propose a technique to preferentially drop packets from aggregates whose volume is more than the fairshare. Our prototype implementation demonstrates its ability to protect the network from DoS attacks and to provide rough fairness among aggregates.

Original languageEnglish
Title of host publicationQuality of Future Internet Services - 2nd COST 263 International Workshop, QofIS 2001, Proceedings
EditorsMikhail I. Smirnov, Jon Crowcroft, James Roberts, Fernando Boavida
PublisherSpringer Verlag
Pages222-242
Number of pages21
ISBN (Print)3540426027, 9783540426028
DOIs
Publication statusPublished - 2001
Externally publishedYes
Event2nd COST 263 International Workshop on Quality of Future Internet Services, QofIS 2001 - Coimbra, Portugal
Duration: 2001 Sep 242001 Sep 26

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2156
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd COST 263 International Workshop on Quality of Future Internet Services, QofIS 2001
CountryPortugal
CityCoimbra
Period01/9/2401/9/26

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Cho, K., Kaizaki, R., & Kato, A. (2001). Aguri: An aggregation-based traffic profiler. In M. I. Smirnov, J. Crowcroft, J. Roberts, & F. Boavida (Eds.), Quality of Future Internet Services - 2nd COST 263 International Workshop, QofIS 2001, Proceedings (pp. 222-242). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2156). Springer Verlag. https://doi.org/10.1007/3-540-45412-8_16