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arXiv · 2509.01919

A Diffusion-Based Framework for Configurable and Realistic Multi-Storage Trace Generation

Seohyun Kim·Junyoung Lee·Jongho Park·Jinhyung Koo·Sungjin Lee·Yeseong Kim
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Abstract

We propose DiTTO, a novel diffusion-based framework for generating realistic, precisely configurable, and diverse multi-device storage traces. Leveraging advanced diffusion techniques, DiTTO enables the synthesis of high-fidelity continuous traces that capture temporal dynamics and inter-device dependencies with user-defined configurations. Our experimental results demonstrate that DiTTO can generate traces with high fidelity and diversity while aligning closely with guided configurations with only 8% errors.

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Seohyun Kim, Junyoung Lee, Jongho Park, Jinhyung Koo, Sungjin Lee, Yeseong Kim. 2025-09-02. A Diffusion-Based Framework for Configurable and Realistic Multi-Storage Trace Generation. https://arxiv.org/abs/2509.01919

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