An Effective Routing Mechanism for Link Congestion Avoidance in Software-Defined Networking

碩士 === 國立中興大學 === 資訊科學與工程學系 === 104 === We can via SDN controller to take actions or rules in Software-Defined Networking. Dynamic allocating the network traffic to dealing with network link congestion by centralize control the devices. Hence, proposed a routing mechanism dealing with link congestio...

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Bibliographic Details
Main Authors: Bo-Xiang Huang, 黃柏翔
Other Authors: Shang-Juh Kao
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/84175311242762864254
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Summary:碩士 === 國立中興大學 === 資訊科學與工程學系 === 104 === We can via SDN controller to take actions or rules in Software-Defined Networking. Dynamic allocating the network traffic to dealing with network link congestion by centralize control the devices. Hence, proposed a routing mechanism dealing with link congestion. In the network environment with limited transfer bandwidth, the overall bandwidth is usually shared by users. For specific services, the traffic engineering techniques implemented in such network environment, e.g. limited traffic rate and traffic blocking, will result in many inconvenient circumstances. Therefore, we propose a mechanism with controller of Software-Defined Networking (SDN) to: (1) detect single-node failures of the network topology or the network status while changes occur, (2) and evaluate the network congestion by link utilization. By using SDN controller, the traffic rerouting is proposed while network congestion occurs. This measurement can achieve efficient utilization of network flow. We proposed an algorithm which dealing link congestion. According the network utilization, we redirect the congestion link’s traffic to non-congestion link. Making the distribution of network traffic more effective. In our experiments, we simulate the network congestion by Iperf in Mininet. Clients ask Servers different bandwidth in our scenario. Then get better network throughput, jitter 0.012 ms at most and packet loss rate 0.2% at most in the proposed traffic rerouting than those in general network environment without traffic rerouting. In the end, we proposed the future development and future work in conclusion.