A reproduction of the GAN I/O generation model
This is a reproduction of the GAN IO generation model proposed by the paper 'Accurate Generation of I/O Workloads Using Generative Adversarial Networks'.
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 (GAN) to synthesize I/O trace data. Available at GitHub.