Using LSTM algorithm to improve network management in SDN

• Main Authors: Liu, Szu-Yu, 劉思妤
• Other Authors: Ku, Cheng-Yuan
• Format: Others
• Language: en_US
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/qqh5m3

碩士 === 國立交通大學 === 資訊管理研究所 === 107 === There are a lot of network monitoring technologies existed so far. Network administrators must have accurate monitoring to operate efficiently. In this paper, we propose a dynamic adjustment threshold method – Long short term memory network. In a resource-constrained network, SDN traffic engineering (SDN TE) can improve network utilization and service quality. we use a minimum bandwidth utilization routing mechanism to avoid congestion. The controller periodically monitors the traffic utilization of each link in the network. The overused links are identified as a bottleneck link. Removing the bottleneck links by the utilization rate, the remaining bandwidth calculation to be passed by the routing algorithm becomes the alternate selection path. When network traffic increases, the proposed dynamic adjustment utilization method - long-term and short-term memory networks can effectively predict traffic and improve network efficiency and network service quality.