The invention relates to the technical field of
solid state disk
energy consumption analysis, in particular to a
solid state disk
energy consumption prediction method and
system based on
deep learning. The method comprises the following steps: obtaining a
solid state disk drive running log; performing hard disk
energy consumption comprehensive evaluation on the running log of the solid-state hard disk driver to generate solid-state hard disk energy consumption data; obtaining a plurality of user request behavior data based on the
solid state disk driver running log, and performing read-write energy consumption calculation according to the energy consumption data of the
solid state disk so as to obtain energy consumption data of each hard disk read-write operation behavior; performing multi-period hard disk read-write operation identification on the plurality of user request behavior data, and performing read-write logic implicit association learning to generate user read-write logic association features; time window division is carried out on the
solid state disk drive operation logs based on the user read-write logic association features, and a plurality of potential behavior prediction scenes are constructed. According to the method, accurate and efficient energy consumption prediction of the solid state disk is realized.