Generating high-fidelity I/O traces with GAN
Reproduction of LSTM-based GAN synthetic I/O generation proposed by Zhang et al. (2024).
Abstract
This repository reproduces LSTM‐based GAN for I/O Trace Synthesis (Zhang et al., 2024). It implements a multi‐step LSTM Generative Adversarial Network to synthesize I/O trace data. Available at GitHub.