Optimization of Dynamic Routing Algorithm in SDN Network Based on Data Mining
Xinghua Yang, Mingbo Liu, Zhouhui Jiao, Chaoyu Mu · 2023
Mobile SDN (Software Defined Network) is a temporary autonomous network composed of a series of mobile nodes with wireless transceivers. It has the characteristics of unreliable public wireless channel, dynamic topology, routing mechanism relying on mutual cooperation of nodes, no monitoring and management center, and lack of clear defense lines, which lead to the traditional access control mechanisms such as firewall can not be applied to mobile SDN network, and its security problems are particularly prominent. Quantitative mining method has many advantages, such as adapting to large-scale dynamic data, reducing memory requirements and parallel processing. Under the architecture of data mining with changing information sources, a group of special intelligent agents are used to incrementally modify the knowledge model, and the construction method of group intelligent clustering model and the incremental model maintenance algorithm are proposed. It is very important to implement traffic engineering, which aims to balance the utilization of resources in the network. Based on this, a dynamic routing algorithm is proposed, which introduces the concept of “network load balance degree” to describe the deviation degree of the availability rate of the punctured bandwidth on each link in the network from its average value when compared, and serves as a key index for implementing routing selection. Supply chain collaboration is the foundation and core of supply chain management, and also the main difficulty in implementing supply chain management. Because the supply chain collaboration that requires information sharing is essentially the redistribution of benefits among nodes in the supply chain. Therefore, from the perspective of management, in the final analysis, the supply chain is a problem of coordinating the conflicts of interests of all parties. Routing algorithm is the key technology to support network transmission. It was born with the emergence of the network and developed with the expansion of the network scale The network, the size of traffic and the effectiveness of routing algorithms are always a pair of mutually contradictory and mutually reinforcing factors In the past ten years, the number of networks and the total number of traffic in the world have increased at an alarming rate, which undoubtedly puts forward higher requirements for routing algorithms.