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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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The Globus Compute Dataset

Authors: Bauer, André; Pan, Haochen; Chard, Ryan; Babuji, Yadu; Bryan, Josh; Tiwari, Devesh; Foster, Ian; +1 Authors

The Globus Compute Dataset

Abstract

We present a unique function-as-a-service (FaaS) dataset capturing the use of the Globus Compute (previously funcX) platform. Globus Compute implements a federated model via which users may deploy endpoints on arbitrary remote computers, from the edge to high-performance computing (HPC) cluster, and they may then invoke Python functions on those endpoints via a reliable cloud-hosted service. The dataset covers 31 weeks and includes 2,121,472 task submissions from 252 users executed on 580remote computing endpoints. It includes 277,386 registered functions. 

Related Organizations
Keywords

Edge Computing, Severless, Dataset

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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