2022
DOI: 10.32604/jiot.2022.036066
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A Network Traffic Prediction Algorithm Based on Prophet-EALSTM-GPR

Abstract: Huge networks and increasing network traffic will consume more and more resources. It is critical to predict network traffic accurately and timely for network planning, and resource allocation, etc. In this paper, a combined network traffic prediction model is proposed, which is based on Prophet, evolutionary attention-based LSTM (EALSTM) network, and Gaussian process regression (GPR). According to the non-smooth, sudden, periodic, and long correlation characteristics of network traffic, the prediction procedu… Show more

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