Abstract
The relevance of the network traffic prediction is due to the requirement to store a large amount of data for a long time. In this regard, it is necessary to predict traffic volumes in order to take the necessary measures to protect and preserve data. The paper substantiates the use of autoregressive class models to construct predictive estimates. The results allowing substantiating the prospective requirements for the memory volumes of the node equipment of the infocommunication network are given.
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