Towards opportunistic flow management in OpenFlow

Author

Seung Il Moon ; Kamal, Raj ; Choong Seon Hong ; Sungwon Lee

Author_Institution

Dept. of Comput. Eng., Kyung Hee Univ., Yongin, South Korea

fYear

2013

Firstpage

696

Lastpage

699

Abstract

Traditional Internet is merely static, rather than flexible, which is demanded by Internet-Community. OpenFlow has opened the door of management of Internet in a more controlled way. In this context, we are motivated to manage OpenFlow in a more opportunistic way, which encourages flexible network-management by using experience, through trial and error-mechanisms. In this paper, we have proposed a QLearning(Q-L) based opportunistic flow management algorithm OpenFlow-QL, by which NOX(Network Operating System) Controller maintains the flow by considering QoS among OpenFlow switches. We have implemented OpenFlow-QL through a network architecture, where Agent visualizes the opportunistic flow, given by the NOX Controller through VN (Virtual Network) Manager.

Keywords

computer network management; learning (artificial intelligence); protocols; Internet community; Internet management; NOX; Network Operating System controller; OpenFlow management; OpenFlow switch; OpenFlow-QL; Q-learning-based opportunistic flow management algorithm; QoS; VN manager; flexible network-management; flow maintenance; network architecture; opportunistic flow management; opportunistic flow visualization; trial-and error-mechanisms; virtual network manager; Computer architecture; Context; Control systems; Internet; Network topology; Operating systems; Quality of service;

fLanguage

English

Publisher

ieee

Conference_Titel

Integrated Network Management (IM 2013), 2013 IFIP/IEEE International Symposium on

Print_ISBN

978-1-4673-5229-1

Type

conf

Filename

6573056