Storage system and storage control method

A storage system comprising:

• an interface device connected to a storage device;
• and
• a processor configured to perform irreversible compression on time-series data using a compressor/decompressor based on machine learning and store post-compression data which is time-series data subjected to the irreversible compression in the storage device,
• wherein an input to the compressor/decompressor is original data which is pre-compression time-series data, and an output of the time-series data from the compressor/decompressor is decompressed data which is data obtained by decompressing the post-compression data of the time-series data,
• wherein machine learning of the compressor/decompressor is performed on each of one or more kinds of statistical amounts based on one or more parameters, the time-series data is compressed using the compressor/decompressor after the machine learning, and the post-compression data of the time-series data is stored in the storage device, and
• wherein the processor calculates a statistical amount value of each of the one or more kinds of statistical amounts based on the one or more parameters in relation to the original data, and
• calculates a statistical amount value of each of the one or more kinds of statistical amounts based on the one or more parameters in relation to the decompressed data corresponding to the original data, and
• wherein the machine learning of the compressor/decompressor is performed based on the statistical amount value calculated for each of the one or more kinds of statistical amounts in relation to the original data and the statistical amount value calculated for each of the one or more kinds of statistical amounts in relation to the decompressed data.