论文信息 - Fuzzy Tendency based Time Series Model for Forecasting Server Traffic

Fuzzy Tendency based Time Series Model for Forecasting Server Traffic

For modeling of change of terminal server load, the approach including representation of time series of server parameters in the form of fuzzy time series is used. Further in the article the analysis of fuzzy time series is considered. The model of fuzzy tendencies is offered for terminal server traffic modeling. This model reflects change of the volume of terminal server traffic expressed linguistically, and it is used for its forecasting. The results of the forecast permit to determine linguistically expressed fuzzy tendencies on the basis of the offered model.

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