AI-powered solutions for network traffic optimization
Ming Tang
Communication University of China, Nanjing
DOI: https://doi.org/10.59429/esta.v12i1.9662
Keywords: Network traffic; Artificial intelligence; Traffic optimization; Machine learning; Deep learning
Abstract
With the explosion and increasing complexity of network traffic, management faces various technical challenges. Artificial intelligence (AI) technologies, including machine learning, deep learning, reinforcement learning and big data analysis, are used for traffic feature analysis, prediction, dynamic scheduling and optimization strategy formulation. The proposed optimization scheme is based on these techniques, including architecture construction and data processing.
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