Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Container Profiler: Profiling Resource Utilization of Containerized Big Data Pipelines

arXiv (Cornell University)(2020)10.48550/arxiv.2005.11491Source: DataRank Database

Container Profiler: Profiling Resource Utilization of Containerized Big Data Pipelines is a research paper published in arXiv (Cornell University) (2020). On theSindex it has a DataRank of 0. It has been cited 1 time.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access1 citations

Free full text

Cite:

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)OA: goldTopics (13)IDs (PubMed)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (8)

Ling‐Hong Hung ORCID,Perez, David,Huazeng Deng ORCID,Raymond Schooley ORCID,Niharika Arumilli

Live enrichment

PubMed:37624874

National Institutes of Health

Grant: 3U24HG012674-04S1

MorPhiC Data Resource and Administrative Coordinating Center

National Institutes of Health

Grant: 1R03AI159286-01A1

Integrative and interactive analyses of host transcriptional response to COVID-19 and other respiratory viral infections

National Institutes of Health

Grant: 5R01GM126019-02

Intelligent deployment of containerized bioinformatics workflows on the cloud

National Science Foundation

Grant: 1849970

CRII: OAC: RUI: Improving Software Deployments to Serverless Computing Environments

goldLicense: CC BY

https://doi.org/10.1093/gigascience/giad069

https://dx.doi.org/10.48550/arxiv.2005.11491

https://pubmed.ncbi.nlm.nih.gov/37624874

http://dx.doi.org/10.1093/gigascience/giad069

http://arxiv.org/abs/2005.11491

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Big DataPerformance (cs.PF)FOS: Computer and information sciencesComputer Science - PerformanceTime FactorsComputer Science - Distributed, Parallel, and Cluster ComputingTech NoteComputational BiologyDistributed, Parallel, and Cluster Computing (cs.DC)Software