Conceptual model of the forecasting process on web server load
Abstract
The article focuses on addressing the current scientific and applied challenge of creating effective methods for predicting web server loads. It highlights how the absence of a formalized and detailed description of the forecasting tool development process hampers the utilization of modern theoretical solutions, thus hindering their effectiveness. Through our research, we've devised a conceptual model for forecasting web server loads. This model considers the technical specifications of the web server, typical web traffic parameters, and justifies the criteria for evaluating performance. This enables a more precise direction for further research in designing relevant forecasting tools, incorporating models and methods from wavelet transform theories. Our investigation identifies the need for developing a wavelet-based model to predict web server loads in a general-purpose computer system, signaling avenues for future exploration
References
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