Identifying elephant flows through periodically sampled packets

Tatsuya Mori, Masato Uchida, Ryoichi Kawahara, Jianping Pan, Shigeki Goto

研究成果: Conference contribution

119 引用 (Scopus)

抜粋

Identifying elephant flows is very important in developing effective and efficient traffic engineering schemes. In addition, obtaining the statistics of these flows is also very useful for network operation and management. On the other hand, with the rapid growth of link speed in recent years, packet sampling has become a very attractive and scalable means to measure flow statistics; however, it also makes identifying elephant flows become much more difficult. Based on Bayes' theorem, this paper develops techniques and schemes to identify elephant flows in periodically sampled packets. We show that our basic framework is very flexible in making appropriate trade-offs between false positives (misidentified flows) and false negatives (missed elephant flows) with regard to a given sampling frequency. We further validate and evaluate our approach by using some publicly available traces. Our schemes are generic and require no per-packet processing; hence, they allow a very cost-effective implementation for being deployed in large-scale high-speed networks.

元の言語English
ホスト出版物のタイトルProceedings of the 2004 ACM SIGCOMM Internet Measurement Conference, IMC 2004
ページ115-120
ページ数6
出版物ステータスPublished - 2004 12 1
イベントProceedings of the 2004 ACM SIGCOMM Internet Measurement Conference, IMC 2004 - Taormina, Italy
継続期間: 2004 10 252004 10 27

出版物シリーズ

名前Proceedings of the 2004 ACM SIGCOMM Internet Measurement Conference, IMC 2004

Conference

ConferenceProceedings of the 2004 ACM SIGCOMM Internet Measurement Conference, IMC 2004
Italy
Taormina
期間04/10/2504/10/27

    フィンガープリント

ASJC Scopus subject areas

  • Engineering(all)

これを引用

Mori, T., Uchida, M., Kawahara, R., Pan, J., & Goto, S. (2004). Identifying elephant flows through periodically sampled packets. : Proceedings of the 2004 ACM SIGCOMM Internet Measurement Conference, IMC 2004 (pp. 115-120). (Proceedings of the 2004 ACM SIGCOMM Internet Measurement Conference, IMC 2004).