SSD performance improvement through deep learning-based workload analysis

2023 Pusan National University Graduation Project

최성찬 (201824641)

Odgerel Ariunbold (201824623)

Ganchuluun Narantsatsralt (201824621)

data folder contains the data to train and currently it is only the sample file.

data/traceProcess is a script to process whole data from ssdtrace-00 to ssdtrace-26 at once

data/ssdtrace.gz is a gz file which is output of above traceProcess script. This will be used for training model.

data/labeling folder contains the labeled data and codes to lable the datas.

data/labeling/Sector.cpp is a code to calculate frequency, access interval, and overall i/o size.

src/ only source codes must be included in the subfolder of src

src/greedyGC Garbage Collection algorithm implementation src

src/model Deep learning models

src/model/cpp Deployment of LSTM Model to C++ environment.

src/utils other useful scripts

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