DocumentCode :
1546797
Title :
A Traffic Classification Agent for Virtual Networks Based on QoS Classes
Author :
Gomes, R.L. ; Madeira, E. R M
Author_Institution :
Univ. Estadual de Campinas (UNICAMP), Campinas, Brazil
Volume :
10
Issue :
3
fYear :
2012
fDate :
4/1/2012 12:00:00 AM
Firstpage :
1734
Lastpage :
1741
Abstract :
Internet growth drives the emergence and usage of new applications, which have specific requirements for Quality of Service (QoS). Thus, differentiation of packets which belong to certain QoS classes becomes a crucial factor to ensure the desirable quality for the applications. Within this context, this paper proposes an agent for real-time traffic classification based on QoS classes for virtual network environments, which aims at forwarding the flow to the adequate virtual network according to the QoS class. The study was made using the Mininet emulator and the Openflow Protocol. And the study showed that the agent using the Naive Bayes method performs the more suitable classification in real time.
Keywords :
Bayes methods; Internet; protocols; quality of service; telecommunication traffic; virtual private networks; Internet; Mininet emulator; Naive Bayes method; Openflow protocol; QoS; quality of service; real-time traffic classification; virtual network; Decision trees; Internet; Neural networks; Quality of service; Software; Support vector machines; Switches; Service Level Agreements; Traffic Classification; Virtualization;
fLanguage :
English
Journal_Title :
Latin America Transactions, IEEE (Revista IEEE America Latina)
Publisher :
ieee
ISSN :
1548-0992
Type :
jour
DOI :
10.1109/TLA.2012.6222579
Filename :
6222579
Link To Document :
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