Abstract: An apparatus and/or method is proposed that can show evidence for judgment results in an abnormality judgment using a judgment model obtained by machine learning. Pieces of processed data with a mask corresponding to characteristics of waveform data set on a spectrogram of waveform data are created using a judgment model obtained by machine learning by sequentially shifting the mask in a direction corresponding to the mask, a change rate or a change degree of the waveform data of each piece of created processed data from the spectrogram is calculated, each area in which the mask on the spectrogram of the waveform data is set based on the calculated change rate or change degree is colored with a color or concentration corresponding to the change rate or change degree of the processed data when the mask is set so as to draw and display a judgment evidence image.

Abstract: The first to third storage apparatuses each comprise an SVOL1, SVOL2 and PVOL. Even when the write command designates any of the PVOL, SVOL1 and SVOL2, at least one of the first to third storage apparatuses writes write target data according to the write command to the PVOL and then writes the write target data in parallel to the SVOL1 and SVOL2. Even if a read command designates any of the PVOL, SVOL1 and SVOL2, at least one of the first to third storage apparatuses reads read target data according to the read command from the PVOL.

Abstract: The first to third storage apparatuses each comprise an SVOL1, SVOL2 and PVOL. Even when the write command designates any of the PVOL, SVOL1 and SVOL2, at least one of the first to third storage apparatuses writes write target data according to the write command to the PVOL and then writes the write target data in parallel to the SVOL1 and SVOL2. Even if a read command designates any of the PVOL, SVOL1 and SVOL2, at least one of the first to third storage apparatuses reads read target data according to the read command from the PVOL.