A hybrid asymmetric traffic classifier for deep packet inspection systems with route asymmetry

Kasim Oztoprak; Mehmet Akif Yazici

doi:10.1109/PCCC.2016.7820616

A hybrid asymmetric traffic classifier for deep packet inspection systems with route asymmetry

Kasim Oztoprak, Mehmet Akif Yazici

Informatics Institute

KTO Karatay University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

A flow is said to be asymmetrically routed if its packets follow separate paths for forward and reverse directions. Routing asymmetry leads to problems in flow identification, policy enforcement, quota management, traffic shaping etc. in DPI systems. There are two existing approaches to battle routing asymmetry: clustering and state sharing. The latter fails with stateless traffic, while clustering leads to large traffic overhead. We propose the Hybrid Asymmetric Traffic Classifier (HATC) method that merges the best aspects of the two existing methods. HATC is able to handle all types of asymmetric traffic with reduced overhead compared to clustering. Numerical evaluation of HATC using two real traffic traces is also presented.

Original language	English
Title of host publication	2016 IEEE 35th International Performance Computing and Communications Conference, IPCCC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509052523
DOIs	https://doi.org/10.1109/PCCC.2016.7820616
Publication status	Published - 17 Jan 2017
Event	35th IEEE International Performance Computing and Communications Conference, IPCCC 2016 - Las Vegas, United States Duration: 9 Dec 2016 → 11 Dec 2016

Publication series

Name	2016 IEEE 35th International Performance Computing and Communications Conference, IPCCC 2016

Conference

Conference	35th IEEE International Performance Computing and Communications Conference, IPCCC 2016
Country/Territory	United States
City	Las Vegas
Period	9/12/16 → 11/12/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Access to Document

10.1109/PCCC.2016.7820616

Cite this

Oztoprak, K., & Yazici, M. A. (2017). A hybrid asymmetric traffic classifier for deep packet inspection systems with route asymmetry. In 2016 IEEE 35th International Performance Computing and Communications Conference, IPCCC 2016 Article 7820616 (2016 IEEE 35th International Performance Computing and Communications Conference, IPCCC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PCCC.2016.7820616

Oztoprak, Kasim ; Yazici, Mehmet Akif. / A hybrid asymmetric traffic classifier for deep packet inspection systems with route asymmetry. 2016 IEEE 35th International Performance Computing and Communications Conference, IPCCC 2016. Institute of Electrical and Electronics Engineers Inc., 2017. (2016 IEEE 35th International Performance Computing and Communications Conference, IPCCC 2016).

@inproceedings{9f4922ddd6a341d7a6ad0aaec495da20,

title = "A hybrid asymmetric traffic classifier for deep packet inspection systems with route asymmetry",

abstract = "A flow is said to be asymmetrically routed if its packets follow separate paths for forward and reverse directions. Routing asymmetry leads to problems in flow identification, policy enforcement, quota management, traffic shaping etc. in DPI systems. There are two existing approaches to battle routing asymmetry: clustering and state sharing. The latter fails with stateless traffic, while clustering leads to large traffic overhead. We propose the Hybrid Asymmetric Traffic Classifier (HATC) method that merges the best aspects of the two existing methods. HATC is able to handle all types of asymmetric traffic with reduced overhead compared to clustering. Numerical evaluation of HATC using two real traffic traces is also presented.",

author = "Kasim Oztoprak and Yazici, {Mehmet Akif}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 35th IEEE International Performance Computing and Communications Conference, IPCCC 2016 ; Conference date: 09-12-2016 Through 11-12-2016",

year = "2017",

month = jan,

day = "17",

doi = "10.1109/PCCC.2016.7820616",

language = "English",

series = "2016 IEEE 35th International Performance Computing and Communications Conference, IPCCC 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2016 IEEE 35th International Performance Computing and Communications Conference, IPCCC 2016",

address = "United States",

}

Oztoprak, K & Yazici, MA 2017, A hybrid asymmetric traffic classifier for deep packet inspection systems with route asymmetry. in 2016 IEEE 35th International Performance Computing and Communications Conference, IPCCC 2016., 7820616, 2016 IEEE 35th International Performance Computing and Communications Conference, IPCCC 2016, Institute of Electrical and Electronics Engineers Inc., 35th IEEE International Performance Computing and Communications Conference, IPCCC 2016, Las Vegas, United States, 9/12/16. https://doi.org/10.1109/PCCC.2016.7820616

A hybrid asymmetric traffic classifier for deep packet inspection systems with route asymmetry. / Oztoprak, Kasim; Yazici, Mehmet Akif.
2016 IEEE 35th International Performance Computing and Communications Conference, IPCCC 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7820616 (2016 IEEE 35th International Performance Computing and Communications Conference, IPCCC 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A hybrid asymmetric traffic classifier for deep packet inspection systems with route asymmetry

AU - Oztoprak, Kasim

AU - Yazici, Mehmet Akif

PY - 2017/1/17

Y1 - 2017/1/17

N2 - A flow is said to be asymmetrically routed if its packets follow separate paths for forward and reverse directions. Routing asymmetry leads to problems in flow identification, policy enforcement, quota management, traffic shaping etc. in DPI systems. There are two existing approaches to battle routing asymmetry: clustering and state sharing. The latter fails with stateless traffic, while clustering leads to large traffic overhead. We propose the Hybrid Asymmetric Traffic Classifier (HATC) method that merges the best aspects of the two existing methods. HATC is able to handle all types of asymmetric traffic with reduced overhead compared to clustering. Numerical evaluation of HATC using two real traffic traces is also presented.

AB - A flow is said to be asymmetrically routed if its packets follow separate paths for forward and reverse directions. Routing asymmetry leads to problems in flow identification, policy enforcement, quota management, traffic shaping etc. in DPI systems. There are two existing approaches to battle routing asymmetry: clustering and state sharing. The latter fails with stateless traffic, while clustering leads to large traffic overhead. We propose the Hybrid Asymmetric Traffic Classifier (HATC) method that merges the best aspects of the two existing methods. HATC is able to handle all types of asymmetric traffic with reduced overhead compared to clustering. Numerical evaluation of HATC using two real traffic traces is also presented.

UR - http://www.scopus.com/inward/record.url?scp=85013408618&partnerID=8YFLogxK

U2 - 10.1109/PCCC.2016.7820616

DO - 10.1109/PCCC.2016.7820616

M3 - Conference contribution

AN - SCOPUS:85013408618

T3 - 2016 IEEE 35th International Performance Computing and Communications Conference, IPCCC 2016

BT - 2016 IEEE 35th International Performance Computing and Communications Conference, IPCCC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 35th IEEE International Performance Computing and Communications Conference, IPCCC 2016

Y2 - 9 December 2016 through 11 December 2016

ER -

Oztoprak K, Yazici MA. A hybrid asymmetric traffic classifier for deep packet inspection systems with route asymmetry. In 2016 IEEE 35th International Performance Computing and Communications Conference, IPCCC 2016. Institute of Electrical and Electronics Engineers Inc. 2017. 7820616. (2016 IEEE 35th International Performance Computing and Communications Conference, IPCCC 2016). doi: 10.1109/PCCC.2016.7820616

A hybrid asymmetric traffic classifier for deep packet inspection systems with route asymmetry

Abstract

Publication series

Conference

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this