WAPformer: a cloud resource usage prediction model based on wavelet attention network

Key Points

• The prediction model accurately forecasts cloud resource usage with a precision of 95%, enabling informed decisions.
• Key metrics include mean absolute error and root mean square error, notably lower compared to existing models.
• Assessment using time series analysis and machine learning approaches shows the model's effectiveness over traditional methods.
• These findings may enhance cloud infrastructure management, but external validation across varied environments is necessary.