Late Breaking Results: A Diffusion-Based Framework for Configurable and Realistic Multi-Storage Trace Generation
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.
Authors
- Sung Lee (ORCID: https://orcid.org/0000-0001-9852-6999)
- Jinhyung Koo (ORCID: https://orcid.org/0000-0001-9141-1064)
- Yeseong Kim (ORCID: https://orcid.org/0000-0001-5947-9632)
- Jongho Park (ORCID: https://orcid.org/0000-0002-3898-838X)
- Junyoung Lee (ORCID: https://orcid.org/0009-0005-8080-2082)
- Seohyun Kim (ORCID: https://orcid.org/0009-0006-4371-9455)
Institutions
- Pohang University of Science and Technology (KR)
- Daegu Gyeongbuk Institute of Science and Technology (KR)
- Korea Post (KR)
Publication Details
- Published
- 2025-06-22
- DOI
- https://doi.org/10.1109/dac63849.2025.11132678
- Primary Topic
- Distributed and Parallel Computing Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00