The diagnosis of wired network malfunctions based on big data and traffic prediction: An overview

The increasing demand on higher transmission speed and shorter delay in wired networks becomes critical in recent communication networks. However, the capacity of transmission link is limited by the method of transmission. In this paper, aiming at the situation of large scale networks, an overview of the network optimization based on big data and traffic prediction is given in our proposed work. In wired networks, how to make full use of the transmission bandwidth and provide more reliable QoS is in great demand. Based on the network topology in our facility, we make a summary of current diagnosis method of the network and then propose the future possible way to solve the network malfunction based on big data through network log and complex monitors, then we make an overview of the diagnosis method based on traffic prediction, which could effectively make full use of bandwidth and avoid collision of the network.