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Aristotle Cloud Federation: Container Runtimes Technical Report

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Paper breakdownThe authors' claims, conditions and measurements, as JSON Signed receiptProof this review has not been altered
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Peter Z. Vaillancourt, Bennett Wineholt, Tristan J. Shepherd, Sara C. Pryor, Jeffrey Lantz, Richard Knepper, Rich Wolski, Christopher R. Myers
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Ben Trumbore, Resa Reynolds, Jodie Sprouse, David Lifka

Distributed, Parallel, and Cluster Computing · Submitted 24 Sep 2021

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Scientists, research computing practitioners, and educators may find value in this report when considering the use and/or deployment of containers or when preparing students to meet the unique challenges of using containers in scientific research.

how it is stated · hedged possibility 1.00 read the record →

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arXiv ID2109.12186 (version 1)
Pith ID5CTFIQQ4, Pith's permanent record of this paper and its review
CitationBennett Wineholt, Ben Trumbore, Christopher R. Myers, David Lifka, Jeffrey Lantz, Jodie Sprouse, Peter Z. Vaillancourt, Resa Reynolds, Richard Knepper, Rich Wolski, Sara C. Pryor, Tristan J. Shepherd. "Aristotle Cloud Federation: Container Runtimes Technical Report." arXiv:2109.12186 (2021). https://pith.science/paper/5CTFIQQ4
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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 3,628 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.07 · human participants 0.52 · controlled comparison 0.03 · randomized assignment 0.01 · states quantitative result 0.03 · compares with prior results 0.08 · mentions code or data availability 0.03.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

A National Science Foundation-sponsored container runtimes investigation was conducted by the Aristotle Cloud Federation to better understand the challenges of selecting and using Docker, Singularity, and X-Containers. The main goal of this investigation was to identify the "pain points" experienced by users when selecting and using containers for scientific research and to share lessons learned. Application performance characteristics are included in this report as well as user experiences with Kubernetes and container orchestration on cloud and HPC platforms. Scientists, research computing practitioners, and educators may find value in this report when considering the use and/or deployment of containers or when preparing students to meet the unique challenges of using containers in scientific research.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 A National Science Foundation-sponsored container runtimes investigation was conducted by the Aristotle Cloud Federation to better understand the challenges of selecting and using Docker, Singularity, and X-Containers. contribution 0.84 0.79 0.03 asserted 0.99
s1 The main goal of this investigation was to identify the "pain points" experienced by users when selecting and using containers for scientific research and to share lessons learned. contribution 0.89 0.42 0.09 asserted 0.99
s2 Application performance characteristics are included in this report as well as user experiences with Kubernetes and container orchestration on cloud and HPC platforms. contribution 0.97 0.66 0.04 asserted 1.00
s3 Scientists, research computing practitioners, and educators may find value in this report when considering the use and/or deployment of containers or when preparing students to meet the unique challenges of using containers in scientific research. interpretation 0.50 0.08 0.09 hedged possibility 1.00

What kind of paper the classifier reports this is: empirical study 0.97 · evidence from observation or experiment 0.95.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

A National Science Foundation-sponsored container runtimes investigation was conducted by the Aristotle Cloud Federation to better understand the challenges of selecting and using Docker, Singularity, and X-Containers. The main goal of this investigation was to identify the "pain points" experienced by users when selecting and using containers for scientific research and to share lessons learned. Application performance characteristics are included in this report as well as user experiences with Kubernetes and container orchestration on cloud and HPC platforms. Scientists, research computing practitioners, and educators may find value in this report when considering the use and/or deployment of containers or when preparing students to meet the unique challenges of using containers in scientific research.

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