SDN route planning method based on reinforcement learning

A technology of reinforcement learning and learning algorithm, applied in the field of network communication technology and reinforcement learning, it can solve the problems of reducing link utilization, network congestion, and lack of consideration, and achieve the effect of reducing network congestion and high link utilization.
CN109361601AActive Publication Date: 2019-02-19ZHEJIANG GONGSHANG UNIVERSITY
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
ZHEJIANG GONGSHANG UNIVERSITY
Publication Date
2019-02-19

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Abstract

The invention discloses an SDN route planning method based on reinforcement learning. The method comprises the following steps: constructing a reinforcement learning model capable of generating a route by using Q learning in reinforcement learning on an SDN control plane, designing a reward function in the Q learning algorithm, generating different reward values according to different QoS levels of traffic; inputting the current network topology matrix, traffic characteristics, and QoS levels of traffic in the reinforcement learning model for training to implement traffic-differentiated SDN route planning, and finding the shortest forwarding path meeting the QoS requirements for each traffic. The SDN route planning method, by utilizing the characteristics of continuous learning and environment interaction and adjustment strategy, is high in link utilization rate and can effectively reduce the network congestion compared with the Dijkstra algorithm commonly used in traditional route planning.
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Description

technical field

[0001] The invention relates to the field of network communication technology and reinforcement learning, in particular to an SDN route planning method based on reinforcement learning. Background technique

[0002] The continuous growth of Internet traffic data has caused problems such as a sharp increase in bandwidth consumption, difficulty in ensuring service quality, and increased security issues. The Internet is inseparable from all walks of life and has obviously become the industry with the most promising prospects. With the growth of business, all walks of life and individual users will generate tens of thousands of network information flows every day, such as file transfer, voice call, online game, etc. New application models and requirements are constantly emerging, and the traditional network architecture has been unable to cope with the rapid The developing Internet is facing many problems such as insufficient network address space, increasingly bl...

Claims

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