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Load Balancing Approach for Finding Best Path in SDN. By using artificial neural networks

Load Balancing Approach for Finding Best Path in SDN. By using artificial neural networks. We collect 6 load features from each transmission path. These features are bandwidth ratio, hop count, latency, packet overhead, trust and packet loss . By using this 6 load features, BP Artificial Neural Network model is trained to predict the integrated load for different path and to find load on each node using this feature. Select least loaded path for transmission as a new incoming data flow in a real time.

Am looking for software defined network expert

Habilidades: Inteligência Artificial, Engenharia, Aprendizado de Máquina , Pesquisa científica

Veja mais: cisco local load balancing, configuring load balancing asterisk, asterisk openser load balancing, cisco model load balancing, asterisk load balancing, cisco smart load balancing, opensips load balancing, setup load balancing asterisk servers, opensips handle load balancing, load balancing opensips openser asterisk, multiapache load balancing, cisco router configure load balancing, finding best load board

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( 0 comentários ) Malaysia

ID do Projeto: #18628252