Fafnir: A Flexible Load Generator for Reproducible ML Inference Benchmarks
- DOI
- 10.1109/icdcsw72724.2026.00019
- Published
- 2026-06
- Container
- 2026 IEEE 46th International Conference on Distributed Computing Systems Workshops (ICDCSW)
- Publisher
- IEEE
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1109/icdcsw72724.2026.00019,
title = {Fafnir: A Flexible Load Generator for Reproducible ML Inference Benchmarks},
author = {Theo Radig and Holger Karl and David Simon Nelle},
year = {2026},
journal = {2026 IEEE 46th International Conference on Distributed Computing Systems Workshops (ICDCSW)},
doi = {10.1109/icdcsw72724.2026.00019},
url = {https://doi.org/10.1109/icdcsw72724.2026.00019}
}RIS
TY - JOUR TI - Fafnir: A Flexible Load Generator for Reproducible ML Inference Benchmarks AU - Theo Radig AU - Holger Karl AU - David Simon Nelle PY - 2026 JO - 2026 IEEE 46th International Conference on Distributed Computing Systems Workshops (ICDCSW) DO - 10.1109/icdcsw72724.2026.00019 UR - https://doi.org/10.1109/icdcsw72724.2026.00019 ER -
APA
Radig, T., Karl, H., & Nelle, D. S. (2026). Fafnir: A Flexible Load Generator for Reproducible ML Inference Benchmarks. 2026 IEEE 46th International Conference on Distributed Computing Systems Workshops (ICDCSW). https://doi.org/10.1109/icdcsw72724.2026.00019
Source records
- crossref · retrieved 2026-09-26T05:04:10.278Z