Content-aware compression of floating-point time-series data using multiple prediction functions and estimated bit-saving thresholds

摘要

Methods and apparatus are provided for content-aware compression of data using multiple prediction functions. An exemplary method comprises obtaining a floating point number; applying a default prediction algorithm and at least one other distinct prediction algorithm to the obtained floating point number to generate a plurality of predictions; determining a residual for each prediction based on a difference between the predictions and the floating point number; determining a bit savings estimate for each prediction based on a difference between an exponent of each prediction and an exponent of the residual for each prediction; selecting the default prediction algorithm or one other distinct prediction algorithm for encoding the floating point number based on the determined bit savings estimate for each prediction; and encoding the floating point number by encoding the determined residual associated with the selected prediction algorithm and/or the determined bit savings estimate associated with the selected prediction algorithm.