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

Kasim Oztoprak, Mehmet Akif Yazici

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

6 Atıf (Scopus)

Özet

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.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2016 IEEE 35th International Performance Computing and Communications Conference, IPCCC 2016
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9781509052523
DOI'lar
Yayın durumuYayınlandı - 17 Oca 2017
Etkinlik35th IEEE International Performance Computing and Communications Conference, IPCCC 2016 - Las Vegas, United States
Süre: 9 Ara 201611 Ara 2016

Yayın serisi

Adı2016 IEEE 35th International Performance Computing and Communications Conference, IPCCC 2016

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???event.eventtypes.event.conference???35th IEEE International Performance Computing and Communications Conference, IPCCC 2016
Ülke/BölgeUnited States
ŞehirLas Vegas
Periyot9/12/1611/12/16

Bibliyografik not

Publisher Copyright:
© 2016 IEEE.

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