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Analysis of network traffic behavior and modeling to predict, for network management and security early warning has a very important significance. An improved FOA-ESN method using opposition-based learning (OBL) mechanism for the network traffic prediction with multiple steps is proposed in this paper. Firstly, reconstructing the phase space of the original network flow time series, and then building...
The network traffic is a very important parameter to evaluate the network load and running state, and realization of the accurate prediction can be an important method to improve the network management. In this paper, a multi-step prediction method for the network traffic based on echo state network (ESN) optimized by quantum-behaved fruit fly optimization algorithm (QFOA) is proposed. First, the...
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