Powered by OpenAIRE graph
Found an issue? Give us feedback
ZENODOarrow_drop_down
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
versions View all 8 versions
addClaim

Replication Package for "SeBS-Flow: Benchmarking Serverless Cloud Function Workflows"

Authors: Schmid, Larissa; Copik, Marcin; Calotoiu, Alexandru; Brandner, Laurin; Koziolek, Anne; Hoefler, Torsten;

Replication Package for "SeBS-Flow: Benchmarking Serverless Cloud Function Workflows"

Abstract

This artifact contains the implementation of SeBS-Flow, data, and analysis scripts. We provide the following components: sebs-flow-artifact: Benchmarking results obtained for the paper together with Python plotting and analysis scripts used for data analysis. See separate README. sebs-flow-implementation: We provide the implementation of SeBS-Flow integrated within the serverless benchmarking suite SeBS. To setup SeBS, please refer to information given in the original README inside the implementation folder. Our workflow benchmarks are provided in the benchmarks folder (`benchmarks/600.workflows`). Please refer to `docs/workflows.md` regarding the required setup for workflow execution. We obtained the results presented in the paper using the `perf-cost` experiment. To execute the experiment, set the desired properties in the config json and execute the following command: ./sebs.py experiment invoke perf-cost --config {path/to/config.json} --workflow True --output-dir {path/to/output-dir} --verbose We provide the configurations used for execution of the benchmarks as in the paper for each platform as part of the artifact (`sebs-flow-artifact/benchmark-configs`). 

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average