Title :
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
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;
Conference_Titel :
Integrated Network Management (IM 2013), 2013 IFIP/IEEE International Symposium on
Print_ISBN :
978-1-4673-5229-1
