Aguri: An aggregation-based traffic profiler

Kenjiro Cho, Ryo Kaizaki, Akira Kato

研究成果: Conference contribution

13 引用 (Scopus)

抜粋

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.

元の言語English
ホスト出版物のタイトルQuality of Future Internet Services - 2nd COST 263 International Workshop, QofIS 2001, Proceedings
編集者Mikhail I. Smirnov, Jon Crowcroft, James Roberts, Fernando Boavida
出版者Springer Verlag
ページ222-242
ページ数21
ISBN(印刷物)3540426027, 9783540426028
DOI
出版物ステータスPublished - 2001
外部発表Yes
イベント2nd COST 263 International Workshop on Quality of Future Internet Services, QofIS 2001 - Coimbra, Portugal
継続期間: 2001 9 242001 9 26

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2156
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

Other

Other2nd COST 263 International Workshop on Quality of Future Internet Services, QofIS 2001
Portugal
Coimbra
期間01/9/2401/9/26

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • これを引用

    Cho, K., Kaizaki, R., & Kato, A. (2001). Aguri: An aggregation-based traffic profiler. : M. I. Smirnov, J. Crowcroft, J. Roberts, & F. Boavida (版), 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); 巻数 2156). Springer Verlag. https://doi.org/10.1007/3-540-45412-8_16